DHL Trendreport Robotics PDF

ROBOTICS IN LOGISTICS
A DPDHL perspective on implications

and use cases for the logistics industry
March 2016
Powered by DHL Trend Research

PUBLISHER
DHL Customer Solutions & Innovation Deutsche Post DHL Group
Represented by Matthias Heutger Post - eCommerce - Parcel
Senior Vice President Strategy, Represented by Dr. Clemens Beckmann
Marketing & Innovation Executive Vice President Innovation
53844 Troisdorf, Germany 53113 Bonn, Germany
PROJECT DIRECTOR
Dr. Markus Kückelhaus Dr. Antje Huber
Vice President Innovation and Trend Research, Vice President Innovation “Robotics“
Post - eCommerce - Parcel
PROJECT MANAGEMENT AND EDITORIAL OFFICE

Denis Niezgoda Heike Bischoff
Project Manager Innovation and Trend Research, Senior Expert Innovation “Robotics“
Post - eCommerce - Parcel
IN COOPERATION WITH:
AUTHOR
Tom Bonkenburg
Director of European Operations
St. Onge Company
PREFACE
Primed by scenarios from science fiction, as well as by In this report, we examine the current state of robotics
hype and wild speculation from the world’s media, we and automation in the logistics industry and offer a
have for many decades anticipated the era of robotics. visionary outlook of how our supply chains will be
We are concerned that robots may steal our jobs and transformed and improved by this emerging technology
spy on us. We imagine that they will arrive not in ones trend. You will extend your understanding of collaborative
and twos but in vast armies ready to alter forever life robotics with particular insights in the following areas:
as we know it.
Understanding robotics in logistics –
The reality is, of course, quite different. Exciting as it is, why is the time right to start investigating?
robotics technology seems to be arriving slowly but
surely in cautious and well-considered stages. Right
Which leading technology trends are enabling
now robots are already among us. Personal robots robotics solutions in logistics?
are busy cleaning inside our homes and helping to
maintain our gardens. Commercial robots are busy on
What are some of the potential use cases in
the manufacturing side of the supply chain, mostly in the near future?
the automotive sector. But where are all the robots
in the logistics environment? Why are there so few
How could robots change the world of logistics
advanced robots working in our warehouses, helping in the far future?
us to meet modern distribution challenges?
This report will prepare you for a new era of advanced
This DHL trend report explores these questions in robots in logistics, and we hope it will ignite your
detail. You will find that designing an advanced robot interest in the future of robotics. Enjoy the read!
is expensive and a significant technological challenge.
You will see that the distribution environment is Yours sincerely,
complicated and difficult to automate. But every day
there are breakthroughs in robotics, helping us to
overcome these challenges. Funding is pouring into
robotics research in unprecedented amounts from
unexceed sources. And there are both large enterprise
players and innovative startup companies focusing
for the first time on extending the role of robotics
beyond manufacturing and into the logistics side
of the supply chain.
Dr. Markus Kückelhaus Dr. Clemens Beckmann

Vice President Innovation Executive Vice President
and Trend Research Innovation
DHL Customer Solutions & Deutsche Post DHL Group
Innovation Post - eCommerce - Parcel (PeP)
2 Table of Contents
PREFACE ........................................................................................ 1
1 UNDERSTANDING ROBOTICS ............................................... 3

1.1 Robotics in Logistics: An Emerging Technology Trend......................... 3
1.2 Robotics in Logistics: Why Now?....................................................... 4
1.3 History of Hype ................................................................................ 6
1.4 What is Different Today? .................................................................. 7
2 ENABLING TECHNOLOGY TRENDS ....................................... 10

2.1 Eyes: Accurate and Low-Cost Perception ........................................... 11
2.2 Hands: Manipulation and Collaboration ............................................ 14
2.3 Feet: Mobility with Intelligence ......................................................... 16
2.4 Brains: Computational Power and Resource Sharing .......................... 18
2.5 Exoskeletons: The Ultimate in Human Robotics Collaboration ............ 21
3 NEAR FUTURE – EXAMPLES IN LOGISTICS .......................... 22

3.1 Current State of Robotics in Logistics................................................. 22
3.2 Trailer and Container Unloading Robots ............................................ 22
3.3 Stationary Piece Picking Robots ........................................................ 23
3.4 Mobile Piece Picking Robots ............................................................. 25
3.5 Co-Packing and Customization ......................................................... 26
3.6 Home Delivery Robots ...................................................................... 27
4 FUTURE VISION ..................................................................... 28

4.1 Distribution Centers ......................................................................... 28
4.2 Sorting Centers ................................................................................ 30
4.3 Last-Mile Delivery ............................................................................ 32
CONCLUSION AND OUTLOOK ...................................................... 34
SOURCES ....................................................................................... 35
Understanding Robotics 3
1 UNDERSTANDING ROBOTICS
1.1 Robotics in Logistics: An Emerging “exoskeletons” help restore functions of amputees and
Technology Trend the elderly, allowing them to remain active in society.
As highlighted in the DHL Logistics Trend Radar, there These robots already advance our lives by eliminating
are several significant technology trends that will greatly tasks that are dangerous, repetitive, tedious, or boring
affect our future in a positive way. Examples include and give us improved skills of accuracy, precision, and
sustainable energy, medical informatics, 3D printing, gene strength. Robots enhance our productivity and allow
sequencing, big data analytics, and self-driving cars. It is us to accomplish more each day even in a world where
easy to picture how advances in these areas will improve the working population is getting older.
our lives.
Up until now, robotics technology has not made a large
Another major technology trend that will have a profound impact in the world of logistics. This is about to change
and positive impact on society is the development of as advanced robots enter our warehouses, sorting centers,
advanced robotics. Every day, innovative robots are and even help with final-mile delivery. Logistics workers
supporting doctors with surgeries that are less invasive will benefit from collaborating with robots, while
and safer to perform. In hospitals, robots work with customers will see faster service and higher quality.
nurses to bring meals and medicines to patients without Imagine a world where people can focus on work that
delay. Robots are being designed to remove dangerous is meaningful and more enjoyable. Picture a world
landmines and support recovery from natural disasters where repetitive, tedious, or dangerous manual labor
in ways that would be too risky for human beings. is uncommon. Dream of a logistics supply chain that is
faster, safer, and more productive.
Robots work together with factory employees to assemble
goods around the world with higher quality and at lower This DHL trend report gives an overview of the current
cost. Personal robots are available to help us around our state of robotics in logistics, and offers a vision of how
homes by mowing the lawn, watering the garden, and our supply chains will be transformed and improved by
vacuuming the living room. Robotic prosthetics and this exciting technology trend.
Figure 1: Robots help people in dedicated areas of everyday life and work
4 Understanding Robotics
1.2 Robotics in Logistics: Why Now?
One of the biggest challenges facing the logistics industry

today is labor availability. It’s not easy for companies
around the world to find enough high-quality employees
to move goods from suppliers to customers. Two compet-
ing factors are making this especially difficult: The first
is an increasing need for more logistics workers and this
is being driven by the e-commerce revolution and its
need for more parcel shipments; the second is a decline
in the size of the available workforce due to shrinking
population levels in the Western world.
Figure 2: Online retail keeps growing fast
Forrester Research predicts a 10% year-on-year growth
for online retail in Europe1 and the US.2 Online growth Since 1948, the US economy has grown at an average pace
in Asia is even faster; for example by the year 2020 the of 3% per year. If this trend continues and with the current
online retail market in China is projected to be equal rate of productivity, over the next thirty years the US will
to that of France, Germany, Japan, the UK, and the US need 35 million more workers than will be available. How
combined.3 will companies fill this labor gap?5 Even today employees
are being asked to work additional years and retire later
This growth directly affects the requirement for logistics due to staff shortages, but logistics is a difficult occupation
labor since online retail typically needs more labor per for an already aging workforce.
item sold than traditional brick-and-mortar retail. This
is because, instead of moving merchandise to a retail To combat these challenges, the managers of tomorrow’s
store in bulk, the organization must pick and pack online supply chains will need to either continue to raise costs
purchases individually by hand. Freight and parcel while reducing service or will need to compensate with
handling labor goes up as well since these goods must automation that can support workers and increase pro-
be shipped as separate parcels to be delivered directly ductivity. Today’s current material handling automation
to consumers’ homes. Added to this, the average weight solutions have helped to ease and postpone this challenge
of these shipments is increasing as consumers can now but in many cases the solutions are just not flexible enough
order large items such as white goods, building supplies, to cover all of the requirements of a dynamic supply chain.
and even furniture online.
Could collaboration with robots be a possible solution to
For the first time in history, future populations will be this problem? Could a machine that works with its human
smaller than past generations in the mature markets. colleagues help fill the future gap between the required
A recent study by BCG shows that over the next fifteen workforce and the available labor pool? Could robots help
years Germany alone could see a labor deficit up to make logistics jobs easier so that employees can happily
10 million workers.4 work into their 60s and beyond?
Figure 3: Economies will face shortage of million workers across different industries
1
http://nrw.nl/wp-content/uploads/2015/07/European-b2c-e-commerce-report-2015.pdf
2
https://www.forrester.com/Forrester+Research+Online+Retail+Forecast+2015+To+2020+US/fulltext/-/E-RES125161
3
http://www.china-briefing.com/news/2014/06/04/trends-chinas-e-commerce-market.html
4
https://www.bcgperspectives.com/content/articles/management_two_speed_economy_public_sector_global_workforce_crisis/?chapter=2
5
https://gbr.pepperdine.edu/2010/08/preparing-for-a-future-labor-shortage/
The desire to have a machine replicate human actions A logistics robot would need to handle a wide array of
has been around for a long time. Over 500 years ago, different parts in an infinite number of combinations. It
Leonardo da Vinci drew plans in his sketchbook for a would help if the robot could see, move, and react to its
robotic knight that scholars believed could sit, stand, environment.
raise its visor, and move its arms. In concept the arms
6
were operated by pulleys, cables, and gears not unlike Past attempts at putting more skilled robots into logistics
many of the modern robots that work in factories applications have failed because the technology was just
around the world today. not ready. Until recently, robots were dangerous and had
to be placed inside cages to protect passersby, making
These mechanical humans were called automata and it very difficult to install them in the middle of a busy
were designed to entertain and delight audiences. It distribution center or have them collaborate with workers.
wasn’t until 1961 that the first industrial robot was sold
to perform useful work, transferring parts from one point
to another in a General Motors car factory.7 Like that first
robot, the vast majority of industrial robotic arms installed
between the 1960s and today were confined to the
manufacturing side of the supply chain, mostly in the
automotive sector. Only a limited few transitioned to
support logistics and distribution.
The main reason for the lack of logistics robots is techno-

logical. Until recently, robots have been stationary, blind,
and relatively unintelligent. They perform the same move-
ments over and over again thousands of times a day with
a high degree of accuracy and precision. For many simple
manufacturing processes, such as welding or transferring Figure 5: A logistics robot would need to handle a wide array of
parts, these skills are all that are needed. The world of different shapes; Source: Deutsche Post DHL Group
logistics, however, is much more complex than manu-

facturing and requires a robot with more ability.
Some robots were fitted with expensive cameras but
they could only ‘see’ objects on a conveyor belt that
matched a pre-programmed size and the exact shape
that they were looking for. Any visitor walking through
a sophisticated sorting center could quickly see that this
approach would not work due to the infinitely variable
stream of packages flowing by. Finally, industrial robots
have been quite expensive, making them difficult to
justify in businesses with low labor costs or that feature
fewer than three operational shifts.
Robotics technology is finally beginning to catch up

with our desire to have a robot that is flexible and low
cost enough to work in the logistics and distribution
environment. This trend report outlines the key changes
that are happening today in the world of robotics;
changes that should eventually lead to more effective
Figure 4: The Unimate on the General Motor´s assembly line in robots across all areas of the supply chain.
1961; Source: Computer History Museum
“Leonardo da Vinci‘s Robots“. Leonardo3.net. Retrieved 2008-09-25

6
http://www.robothalloffame.org/inductees/03inductees/unimate.html
7
1.3 History of Hype
Robotics is big news today. In the last twelve months

there have been special sections about robotics in
The Wall Street Journal, Time Magazine, The Economist,
The Financial Times, Foreign Affairs Magazine, Geo,
Wirtschaftswoche, and many others. Large consulting
firms such as Deloitte and McKinsey published reports
about advanced manufacturing and include robotics as a
main driver for change. In fact, in 2015 over 80 research
reports covering the topic of robotics were published.8 Figure 6: A 19th-century vision of the year 2000; Source: The public
Around the world several robot-focused business confer- domain review
ences have been held hosting large numbers of delegates.
Many critical articles are being written about social for a family in the distant future of 2013 including
acceptance of robotics and related ethical, legal, and “robot maids do all household chores”.13 Alas, if you
societal (ELS) issues. Books such as “Rise of the Robots” have gotten a haircut recently or had to wash your own
and “Race Against the Machine” postulate that a robotics laundry you will know that the hype in the media regard-
revolution is near and forecast that society will need to ing the future of robotics does not always come true.
change to be ready for it. Hollywood movies such as
9
“I, Robot“ and “Robot and Frank” show differing visions These entertaining predictions were not fully wrong,
of the future with robots in our lives. however. In 2002 a company called iRobot introduced a
robot vacuum cleaner for use in the home and since then
There is an ongoing public debate between those who the company has sold over 14 million home-cleaning
believe that the number of jobs will decrease and those robots worldwide.14 This represents a small share of the
who believe that the number of jobs will go up as robots total number of vacuum cleaners sold, but it is a start
become more prevalent. A few well-known public figures and several competitors have entered this market. While
such as physicist Stephen Hawking and Tesla CEO Elon current news articles predict the coming of self-driving
Musk have warned that advanced artificial intelligence is cars, the farm tractor manufacturer John Deere has
“our biggest existential threat”10 while Google CEO Larry already been selling self-driving tractors globally for
Page believes that robots will improve lives, allowing peo- several years.15 In many cases media predictions for the
ple to spend more time with their family and friends while future of robotics are not directionally wrong but their
at the same time engaging in more rewarding work. 11
timelines are often too optimistic. Progress has taken
much longer than many people would expect.
The world has seen this type of excitement and hype
before. In 1910, the French artist Villemard predicted
robotic tailors and barbers taking over these professions Why has progress taken longer?
by the year 2000.12 In 1956, the Californian magazine
Independent Press-Telegram dedicated its entire November The world of advanced robotics is very complicated
issue to “You and the Year 2000”. This article predicted and difficult. It is a multidisciplinary field that combines
that robotic farmers would take over by the millennium. mechanical engineering, electrical engineering, and
On April 3, 1988, the Los Angeles Times Magazine pro- computer science but also draws on disciplines such as
duced a special issue predicting what life would be like psychology, biology, neurology, sociology, and mathe-
8
http://www.therobotreport.com/news/is-the-robotics-industry-over-studied-or-does-it-indicate-a-trend
9
“Rise of the Robots: Technology and the Threat of a Jobless Future” and “Race Against the Machine: How the Digital Revolution is Accelerating Innovation, Driving
Productivity, and Irreversibly Transforming Employment and the Economy”
10
http://www.bbc.com/news/technology-30290540
11
http://www.forbes.com/sites/ellenhuet/2014/07/07/larry-page-robot-jobs/
12
http://thesocietypages.org/socimages/2011/03/09/villemards-vision-of-the-future/
13
http://documents.latimes.com/la-2013/
14
http://www.irobot.com/About-iRobot/Company-Information/History.aspx
15
https://www.washingtonpost.com/news/the-switch/wp/2015/06/22/google-didnt-lead-the-self-driving-vehicle-revolution-john-deere-did/
Electrical Engineering
(Hardware, sensors, low-cost
sensors, powerful batteries) Computer Science
(Cloud computing, increasing
Mechanical Engineering computational power, wireless networks)
(Kinematics, 3D printing,
miniaturization, new materials)
Artifical Intelligence
(e.g. pattern recognition and
perception, speech recognition)
Biology
(Nature-inspired methods, Mathematics
brain as a biological model, (Logics, error estimation,
modeling of animal-swarms, statistical evaluation)
"soft-robotics") Robotics
Law
(Need for adaptation of the
Psychology legislation to new technological
(Human-computer interaction) possibilities, in particular
Cognitive Sciences privacy and liability)
(Cognitive models)
Figure 7: The world of advanced robotics; Source: Deutsche Post DHL Group
matics. To get a robot to do even simple actions often these are companies that tended to focus only on improv-
requires solving several challenging problems at once ing their existing applications within manufacturing.
across multiple areas of study. For this reason, until Today, a new wave of research and funding is flooding
recently, most robotics advancement and research the market, and it is coming from three sources: govern-
was confined to the academic laboratory setting. ment stimulus programs, venture capital investments,
and large enterprise players such as Google and Amazon.
Besides the inherent technical challenges, several other
obstacles have traditionally hindered advancement in Due to the current excitement around robotics, several
the field of robotics: lack of research funding, expensive countries are providing significant grants in an attempt
hardware and sensors, and limited computing power to foster the next robotics revolution within their own
to run advanced algorithms in real time. borders. In 2012 the US government gave a total of $50
million in university grants for robotics research to more
than 30 groups.16 These grants were the first step in the
1.4 What is Different Today? Obama administration’s National Robotics Initiative (NRI)
with the goal of creating the next generation of collabo-
The past barriers to robots development are starting rative robots. In addition to this funding, the US Defense
to come down. The first barrier involves funding. Advanced Research Projects Agency (DARPA) funds the
Developing the next generation of robotics will take DARPA Robotics Challenge, a contest to develop semi-
a substantial investment to advance the technology autonomous robots capable of performing complex
significantly. In the past, research funding was typically tasks at disaster sites.17 So far, the US government has
limited to small university grants and the internal invested over $96 million including more than $3 million
engineering budgets of industrial robot manufacturers – in prize money.
http://www.nsf.gov/news/news_summ.jsp?cntn_id=125390
16
http://www.theroboticschallenge.org/overview
17
China has become particularly interested in robotics and order tote. Fetch has received $23 million in venture
has overtaken Japan as the world’s largest consumer market capital, much of it from SoftBank, a Tokyo-based phone
for industrial robots.18 In April 2015 it was announced that and Internet service provider that also recently invested
China has teamed up with Russia to develop a $200 million $100 million in a robotics company called Aldebaran
robotics research center and startup incubator. One month 19
that has created the robot Pepper.22
later, Japan’s prime minister announced the creation of
the Robot Revolution Initiative Council. Backed by 200
companies and universities, the council’s five-year plan
aims to deepen the use of intelligent machines in manu-
facturing, supply chains, construction, and healthcare,
while quadrupling Japan’s annual robotics sales from
$5 to $20 billion by 2020.20
Governments are not the only organizations funding

robotics research. Several startup companies backed by
venture capital are using the research from university
studies to develop the next generation of robots. One
of the most talked-about robots in the media today is
named Baxter and comes from a company called Rethink
Robotics. Even though Baxter’s sales have been limited,
the market sees great potential and Rethink Robotics
has raised $113 million in capital investment just to Figure 9: Startup Fetch Robotics; Source: Fetch Robotics
develop and advance its technology.21
A new startup company that is focusing on the distribution Overall, venture capital invested in the robotics field for
market is Fetch Robotics. Fetch has developed a robotic the first five months of 2015 exceeded all robot-related
arm that drives around on a mobile base to pick items equity funding in 2014 combined.23 Even the public is now
from a standard warehouse shelf and put them into an investing in the potential of robotics. In November 2013,
Figure 8: Startup Rethink Robotics; Source: Rethink Robotics
18
http://www.forbes.com/sites/montymunford/2015/04/23/china-russia-team-up-on-200-Million-robotics-deal/
19
http://www.prnewswire.com/news-releases/global-and-chinese-industrial-robot-report-2014-2017-300035358.html
20
http://timesofindia.indiatimes.com/tech/tech-news/Japan-unleashes-a-robot-revolution/articleshow/47481845.cms
21
http://www.bizjournals.com/boston/blog/startups/2015/04/rethink-robotics-closes-series-d-funding-with-40m.html
22
http://spectrum.ieee.org/automaton/robotics/industrial-robots/fetch-robotics-secures-massive-20-Million-investment-from-softbank
23
http://www.hizook.com/blog/2015/01/20/venture-capital-vc-funding-robotics-2014
a robot rang the closing bell at NASDAQ, highlighting Improved levels of investment funding, however, are
the creation of the first robotics stock index. Robo-Stox not the only reason that the outlook for robotics today
attracted $54 million in just 2.5 months, which was is much better than in the past. There have been some
invested in 77 stocks globally. 24
fundamental breakthroughs in enabling technologies
that can be used to create the next generation of
Big players such as Amazon and Google represent today’s robots. These enabling technologies include low-cost
third source of funding for the new world of robotics. sensors, faster computers, big data analytics, better
Seeing the potential of robots, Amazon spent $775 million batteries, cloud computing, and mobility. The effect
in 2013 to buy Kiva, another startup robotics company of these important breakthroughs will be the focus of
with a focus on warehouse logistics.25 Amazon now claims the next section of this trend report.
to have 30,000 robots working in 13 fulfillment centers. 26
In the span of twelve months, Google bought eight

robotics startup companies including one that focuses
on automatic trailer unloading using advanced percep-
tion and one that focuses on a branch of artificial intelli-
gence called ‘Deep Learning’.27 Overall Google has spent
a rumored $500+ million to get into the high-tech
robotics game.28
Figure 10: Google got into the high-tech robotics game;
Source: Popular Science
What is a Robot?
24 hours per day on a car assembly line. If you are into
home gadgets, you might think of the Roomba robotic
vacuum cleaner. These are, in fact, all robots but they
are also very different from each other.
It is very difficult to create a definition of a robot that

fits all possibilities. The Oxford English Dictionary defines
a robot as “a machine capable of carrying out a complex
series of actions automatically, especially one programm-
able by a computer”.29
Figure 11: What is a robot? While this definition is true of a robot, it is so broad
that it also captures self-driving cars, drones, conveyor
Close your eyes and picture a robot in your mind. systems, and even a soda vending machine. Self-driving
What do you see? If you are into movies, you might cars and drones have been discussed in another DHL trend
picture some sort of human-like machine as seen report so, for the purposes of this report, we will use
in a science fiction film. Your robot might walk the following definition for a logistics robot: “A robot
and talk as it navigates the same environments with one or more grippers to pick up and move items
as people do. If you work in a factory, you might within a logistics operation such as a warehouse,
picture one of the giant welding robots working sorting center or last-mile”.
24
http://www.forbes.com/sites/jenniferhicks/2013/11/06/first-non-human-will-ring-closing-bell-on-nasdaq/
25
http://money.cnn.com/2012/03/20/technology/amazon-kiva-robots/
26
http://www.bizjournals.com/boston/blog/techflash/2015/10/amazon-now-has-30-000-mass-made-robots-at-its.html
27
http://www.techrepublic.com/article/google-and-robots-the-real-reasons-behind-the-shopping-spree/
28
http://techcrunch.com/2014/01/26/google-deepmind/
29
http://www.oxforddictionaries.com/us/definition/american_english/robot
10 Enabling Technology Trends
2 ENABLING TECHNOLOGY TRENDS
The majority of industrial robots working today perform Traditional manufacturing robots have no such ability –
the same movements over and over again all day long. they are blind, dumb, and locked into place. The good
These movements are repeated very precisely and news is that recent advances are just starting to change
accurately. For example, a robot that takes a part out this. Universities and companies around the world are
of a die press places its gripper in the right spot with doing research in areas of computer science and hardware
0.1 mm accuracy. This exact positioning was most likely that advance the perceptive capability of robots to identify
programmed by the engineer who set up the robot work an object, locate its position, and plan a path of motion
cell. What happens if the part the robot is supposed to that will allow the item to be picked up. This is an
pick up is not there? Most of the robots in factories today extremely challenging technical problem to solve that
have no feedback capability. If there is no part to pick up, even a few years ago was nearly impossible.
most robots will still move to the programmed spot and
continue to close the gripper onto thin air. The ultimate robot to support logistics will need to have
some form of “Eyes, Hands, Feet, and Brains”. It will
People have a major advantage over industrial robots – need eyes to see an object, hands to pick it up, feet so
we are able to see an object, walk to it, coordinate our that it can move the object to another place, and brains
movements to grasp it, sense that we are holding it capable of coordinating all these tasks. In this section we
correctly, and make adjustments if anything goes wrong. will discuss the technological advances that are currently
We have the strength and ability to handle all sorts of underway that could eventually give our robots some
objects and shapes with different sizes, surfaces, weights, form of “Eyes, Hands, Feet, and Brains”.
and fragility. In the context of logistics, if we can see it
on a shelf or in a box, we generally have the ability to
‘pick it and pack it’.
Brains:
Computing Power
Cloud
Hands:
Collaboration
Manipulation
Eyes:
Perception
Sensors
Feet:
Mobility
Figure 12: Technology trends enabling advanced robotics

Enabling Technology Trends 11
2.1 Eyes: Accurate and Low-Cost

Perception
Every day we use our five senses to navigate the world

around us: sight, sound, smell, taste, and touch. If you
were to buy a standard industrial robot from one of the
big three robot manufacturers (ABB, Yaskawa, and Kuka),
it would arrive with none of these senses. Typically what
happens is that sensors, such as cameras and pressure
switches, are added to each robot as needed by the team
tasked with integrating the robot into the production
process. These sensors are usually specialized, expensive, Figure 13: TakkTile´s touch sensor; Source: TakkTile
and often customized for each application.
Robotics engineers have been dreaming about lower cost technology can deliver 1 gram sensitivity for a fraction
and better sensors for years but there has always been of the cost of existing systems, in a package durable
a problem that stopped them. The industrial robot industry enough to survive being crushed by a 25 lb weight.32
is not large enough to drive the economies of scale Its sister startup company, Right Hand Robotics, has
necessary to bring the costs of developing new sensors included this technology in a three-fingered robotic
down to a reasonable level. There is one sector, however, hand, enabling this hand to pick up a wide variety of
that has been able to do this: consumer electronics. The items. Right Hand Robotics just raised $3.3 million in
next generation of robots will use advanced computer venture capital to continue its designs, and is currently
algorithms along with low-cost sensors developed for working on developing an order picking system for use
consumer electronics to greatly increase their ability to in distribution centers.33
perceive the world around them. The DHL Low-Cost
Sensor Technology Trend Report outlines further ways One specific consumer item has had a profound effect on
that low-cost sensors are impacting the logistics world. robotics development, and it comes from the world of
video gaming. For the 2011 Christmas season, Microsoft
Over the past two decades, digital cameras have benefited released its Kinect video game controller to the market.
from a huge drop in the cost per megapixel. For example, The Kinect is an inexpensive 3D camera system that can
back in 1992, Apple introduced one of the first home be attached to our home TVs. The camera can ‘watch’
digital cameras called the QuickTake; its introductory price a video game player and track their motion in real time.
was $749 and it could store a grand total of eight photos For example, if the person playing the video game
in memory at a resolution of 0.3 megapixels.30 Compare swings their arm like they are using a tennis racket, the
this to Apple’s latest iPhones and you will find that after corresponding player in the video game would do the
twenty-three years of progress these devices have two same thing. Players at home can jump, duck, punch, and
built-in cameras which cost the company less than $18 in other ways move their onscreen characters, effectively
in parts and offer at least 25x the resolution of the becoming part of the game. While most of the world saw
QuickTake. A key beneficiary of this low-cost, high-
31
this as an advancement for home entertainment, robotics
resolution camera technology is the robotics industry – engineers saw this as an inexpensive sensor that could
now it is feasible to add ‘Eyes’ to the next generation allow them to do things never before possible.
of robots.
One reason that the Kinect has had such an impact is the
Mobile phone cameras are just one element that’s being quality of raw data that the low-cost sensor can provide
repurposed for the robotics world. Robotics startup com- in real time. The camera not only transmits color images
pany TakkTile has developed a low-cost touch sensor based of the items in its view but also provides the distance
on a mobile phone barometer. TakkTile’s breakthrough from the front of the camera to those objects.
30
http://www.engadget.com/2009/07/29/retro-apple-the-quicktake-100-digital-camera/
31
http://www.digitaltrends.com/mobile/iphone-cost-what-apple-is-paying/
32
http://www.takktile.com/
33
http://otd.harvard.edu/news-events/righthand-is-latest-robotics-startup-to-grab-venture-capital-xconomy
The Kinect can distinguish an object’s depth within one Cameras alone are not enough to give ‘Eyes’ to a robot.
centimeter of accuracy, and its width or height within Sophisticated software is also required to interpret the
three millimeters; and it is sensitive enough to see data from the cameras. The computer science discipline
textures. With advanced software, this information
34
devoted to this research is called machine vision. One of
is good enough to allow a robot to ‘see’ its environment the classic problems of machine vision that is of particular
and locate objects that are in its view. interest to the logistics field is the task called bin picking.
Due to the success of the Kinect, several companies are This requires the robot to use a camera to identify and
developing similar technology. One company, Leap pick up a single part out of pile of similar parts contained
Motion, has developed a comparable sensor for use within a box. Once the image has been given to the com-
with laptops that is 100x more accurate and retails for puter by the camera, advanced programming is required
just $70.35 Like all consumer electronics, this type of to first identify a single part even if it is partially covered.
technology will clearly continue to increase in capability After finding the part, the computer has to understand its
and decrease in cost over time. The robotics world is orientation, ensure that it is a part that can be reached,
poised to benefit greatly from this trend. and then plan a specific path for the arm to follow while
Figure 14: The Kinect Effect; Source: Microsoft
http://www.wired.com/2010/11/tonights-release-xbox-kinect-how-does-it-work/
34
http://www.theverge.com/2012/5/21/3033634/leap-3d-motion-control-system-video
35
calculating the proper orientation for the robotic hand

to finally pick up the item. All of this has to be done Microsoft Kinect
at a speed that would make it interesting for industry.
Several companies are working on this challenge and
making significant progress. One example is Universal
Robotics in the US.
This company has taken a unique approach, trying to make

its software mimic the human brain. Using a Microsoft
Kinect sensor and its own Neocortex advanced software,
Universal Robotics has enabled a robot to ‘learn’ how to
identify and pick up an item from a bin. Once one robot
is trained to pick up a specific item, this knowledge can Figure 16: Microsoft Kinect; Source: Microsoft
be transferred to other robots in the same warehouse
or factory. Within weeks of the Kinect’s release, YouTube had
dozens of home-made movies showing robots using
Pushing beyond the factory, several companies have used the Kinect’s 3D camera to navigate through rooms
machine vision to build robots that work on farms and in and obstacle courses.38 Today several companies offer
orchards. The Spanish company Agrobot has developed robotics solutions that have included the Kinect as their
a strawberry picking machine that uses several robotic main sensor for finding objects in the environment.
arms with cameras to identify and pick ripe strawberries Why was the Kinect embraced so enthusiastically?
while leaving behind those that are not yet ready. Other 36
companies and research centers are developing robots to The first reason is the price. The Kinect retailed for
pick apples, oranges, and even cherries. It is not difficult
37
$150 and combined an infrared depth camera, a
to see how advances in fruit picking robots could transfer color video camera, and a microphone array. To give
into better logistics robots in the future. perspective to this price breakthrough, just three years
before the prototype for the Kinect cost $30,000 to
Improving perception ability will allow robots to handle build.39 Microsoft spent more than $500 million dollars
difficult tasks with a wider range of items in more complex developing this technology with a team of over
environments. As perception gets better, we will first see 1,000 people. Never before had the robotics world
more robots in our factories; we will then see robots in been able to access a sensor of this type at this cost.
our distribution centers; and ultimately we may see robots
as part of the final-mile solution, delivering packages The second reason for the Kinect’s success is that
directly to our homes. Microsoft did not attempt to stop people from
‘hacking’ the system and repurposing it for other
uses. In fact, after seeing the demand for the sensor,
Microsoft released easy-to-use developer kits and
professional versions of the sensor. Universities are
now performing breakthrough research using the
Kinect – technology that students could never have
afforded to exploit in the past.
Microsoft’s willingness to allow collaboration opened

a large new market for Kinect beyond video gaming,
and has inspired roboticists around the world.
Figure 15: Strawberry picking machine; Source: Agrobot
36
http://www.pepperl-fuchs.com/global/en/27566.htm
37
http://www.wsj.com/articles/robots-step-into-new-planting-harvesting-roles-1429781404
38
http://www.wired.com/2011/06/mf_kinect/
39
http://www.nytimes.com/2010/10/24/business/24kinect.html?pagewanted=1&_r=2
2.2 Hands: Manipulation and This skin even has the ability to sense ‘pre-contact’, mean-
Collaboration ing that the robot can sense when a person is within
10 cm of its arm. This feature to sense humans nearby has
No area of robotics has attracted more recent fanfare been successfully tested on industrial robots – these are
than collaborative robotics. A collaborative robot (also capabilities beyond those that are currently available on
called a cobot) is designed to work with a human operator, the market. It is not difficult to imagine a future when all
positioned near them in a shared workspace. For example, logistics robots will be covered with sensor skins allowing
the operator may perform the first part of a task while them to safely work alongside human workers.
the cobot finishes the rest. In the world of logistics, this
could include robots handling heavy parcels under human
direction or taking on long travel moves to reduce human
walking. According to a new study published by ABI The ability of a robot to work
Research, the collaborative robotics sector is expected around and among people
to increase roughly tenfold between 2015 and 2020, will be critical when bringing
reaching over $1 billion.40 robots into the logistics
environment.
One of the key aspects of the collaborative robotics
concept is the idea of shared workspace. As already Dr. Clemens Beckmann
discussed, for safety reasons traditional industrial robots Executive Vice President Innovation,
are normally locked inside large cages and are designed Post - eCommerce - Parcel (PeP), Deutsche Post DHL Group
to shut down immediately if a person enters their work-
space. Collaborative robots, on the other hand, are being
designed as inherently safe to work around people. This Robots working in distributions centers will need to be
involves new ideas for robotic arms including reducing deployed alongside traditional warehouse employees.
their strength and speed, new types of joints, softer In a parcel hub, sorting robots would have to work
materials, and using advanced sensors to shut down alongside truck drivers. If in the far future parcel delivery
the cobot safely if it accidentally collides with someone. robots would become the norm, they would need to
interact directly with human customers. In all scenarios
it is apparent that collaborative robots within logistics
would be more effective than non-collobarative robots.
For workers to accept robots as colleagues, designs must

ensure smooth human-machine interaction as well as
easy ways to reprogram robots and prepare them for new
tasks. Many companies are working on robots that can
be trained through touch screens and equipped with
simple user interfaces. In several new designs, operators
can actually touch and physically move the robotic arm,
effectively ‘teaching’ the robot what to do by showing it.
Non-technicians can now adjust, teach, move, and even
Figure 17: Artificial skin for robots; Source: TU Munich install these robots, simplifying usage and reducing costs.
Robotic arms themselves have been getting less expensive.

A group at the Technical University of Munich, led by For example, between 1990 and 2005, the price of robotic
Prof. Dr. Gordon Cheng, has developed an artificial skin arms dropped by 80%.42 Since then, prices have continued
for robots that can sense touch, force, temperature, to shrink and in the last few years a new low-cost category
and vibrations.41 of collaborative robotic arm has entered the market.
40
https://www.abiresearch.com/press/collaborative-robotics-market-exceeds-us1-billion-/
41
http://www.cellularskin.eu/
42
http://newsroom.iza.org/en/2015/03/31/robots-at-work-boosting-productivity-without-killing-jobs/
One company, Universal Robotics based in Odense,

Denmark, manufactures small size collaborative industrial
robotic arms. It sells a basic robotic arm with a controller
for $34,000.43 The robotic arm monitors the electrical
current used by its motors and will shut down if it
bumps into a person. At only 18 kg, the arm is made of
lightweight materials further reducing its ability to harm
anyone. Currently BMW is using various robot models
from Universal Robotics alongside its workers in its
South Carolina plant in the United States. The robots are
performing assembly operations and BMW sees them as
complementing, rather than replacing, its human work- Figure 19: Collaborative robot YuMi; Source: ABB
force. The market is certainly interested in low-cost
44
robots that can work safely next to people as evidenced the size of a small person and have a lightweight yet rigid
by Universal Robotics’ annual growth rate of 70%+ and magnesium skeleton covered with a floating plastic casing
its recent sale to the company Teradyne for $350 million. that is wrapped in soft padding to absorb impacts.
Due to YuMi’s size and human-like configuration, ABB

hopes that it can more easily be used on existing manual
assembly lines alongside human workers. This idea of
designing a robot that will fit well with existing manual
operations and workstations will be another key element
to help bring robots into the world of logistics.
Even with lightweight materials, sensors, and padding,

many companies will not be comfortable implementing
collaborative robotics until laws and regulations catch up
with this new technology. Robot designers and regulators
are working together to find solutions to ensure the safety
Figure 18: Robots working alongside workers; Source: Universal of workers. The engineering and electronics company
Robots Bosch has recently released a robot that was the first in
Europe to be certified for collaborative operations by the
German Social Accident Insurance (DGUV) association.46
Larger robot manufacturers are taking notice of Universal
Robotics’ success. ABB Robotics has the second largest The Bosch robot is wrapped with its own version of a
installation base of industrial robots in the world.45 In padded fabric sensor skin that can detect when a person
2015, the company introduced a new collaborative robot is near. The robot will stop its movements when someone
called YuMi, which stands for ‘You and Me’ working gets within a few centimeters and will resume its work
together. It is a two-armed robot that is priced at $40,000 when this person moves away. Innovations such as this
and is aimed at the electronics and small parts assembly will continue to make robots safer for use in our work-
market. The YuMi’s arms and torso are approximately places and homes.
43
http://www.roboticsbusinessreview.com/article/universal_robots_strikes_again_sells_to_bmw/RB13
44
http://www.technologyreview.com/news/518661/smart-robots-can-now-work-right-next-to-auto-workers/
45
http://roboticsandautomationnews.com/2015/07/21/top-8-industrial-robot-companies-and-how-many-robots-they-have-around-the-world/812/
46
http://www.bosch-presse.de/presseforum/details.htm?txtID=6276&locale=en
2.3 Feet: Mobility with Intelligence

Robotic Hand
In factories, most industrial robots are bolted firmly to
the floor. Since they blindly perform the same motions
over and over again, they need to be precisely locked into
position to ensure accuracy in their tasks. But these are
robots designed around the Henry Ford assembly line
concept, where workers stay in one place while cars flow
in a controlled manner down the assembly line. If you’ve
worked in the world of logistics, you will fully understand
that a warehouse does not work like an assembly line.
Allowing our future logistics robots to move around
a warehouse, sorting center, or even our home towns
requires some advancement in technology. Giving a robot
‘Feet’ takes more than just bolting on a set of wheels.
Figure 20: Servo-electric 5-finger gripping hand; Source: Schunk Already, there have been vast improvements in the field
of mobile robotics including improved mapping of envi-
Most industrial robotic hands are either two-fingered ronments, better path planning, longer lasting batteries,
‘pinch’ grippers or rubber vacuum cups. The grippers efficient electric motors, high-speed wireless connections,
are not flexible and are typically designed to match and other innovations. Even the wheels themselves have
the specific items that they pick up. In many factory undergone innovation with the development of omnidi-
applications, the robot requires a change of grippers rectional wheels that can move a robot in any direction
between tasks to ensure that it has the appropriate without turning. This section of the report showcases some
hand for the job. This approach is possible in a example companies that are using these advancements
controlled manufacturing environment, but how to develop innovative mobility solutions that will give
would you handle picking up items in a truly ‘Feet’ to our logistics robots of the future.
unstructured environment, such as an ecommerce
warehouse or sorting center? Knightscope is a startup company in Mountain View,
California, US. It has developed a mobile security robot
The German company Schunk designs and sells that will drive around a factory, warehouse, parking lot,
robotic grippers around the world. It challenged its or even a shopping mall. The robot is designed to de-
engineers to design a gripper that could handle a tect anomalous behavior, such as someone unexpectedly
wide range of items. The answer was to follow walking through a building at night, and report back to a
nature and mimic the human hand with five fingers, remote security center. Called the K5, the robot uses four
twenty joints, and nine motors.47 Available in both high-definition cameras, two laser sensors, GPS, navigation
right- and left-hand models and weighing only equipment, microphones, a computer, and electric motors
1.3 kg, this robotic hand is called the SHV. It can all packed into its dome-shaped body.48 Its battery can last
pick up heavy tools with a ‘power grip’ or delicate for 24 hours and the robot will automatically recharge itself
electronics with a ‘precision grip’ just like a human as necessary. K5 patrols its environment avoiding objects
hand. DHL handles a broad range of differently and creating a map as it goes. It will stop abruptly if a per-
shaped items and parcels each day requiring the son steps into its path and send warnings if someone tries
ultimate material handling flexibility. Using a robotic to disable it. It can work inside or out, including on college
hand that is modeled on the human equivalent may campuses and at sporting events. It is not hard to see that
be the key to giving robots the flexibility needed to this technology could be coupled with a robotic arm for
work in the logistics world. warehouse picking or even eventually, with further
development, repurposed as a package delivery robot.
http://mobile.schunk-microsite.com/en/produkte/produkte/servo-electric-5-finger-gripping-hand-svh.html
47
http://www.technologyreview.com/news/532431/rise-of-the-robot-security-guards/
48
open up the possibility of allowing robots to drive on our

sidewalks and streets delivering parcels directly to our
homes and offices.
Swarm of Robots?
Figure 21: Mobile security robot; Source: Slashgear
Delivery robots, in fact, are currently moving mail and

supplies around offices, apartment complexes, and other
large spaces. The company Savioke is selling a hotel robot Figure 22: Swarm of robots; Source: Word Press
called Relay that can travel from the front desk to any
room to deliver snacks, towels, toiletries, and other re- Leafcutter ants are known to group together to pick up
quested items. When the robot arrives at your hotel room and transport objects that are larger than themselves.
door, it politely calls you on your phone to let you know Members of an ant colony ‘talk’ with one another to
that it has arrived. After you enter a code into the robot, coordinate their activities by using chemicals which they
it will automatically open a compartment giving you access smell with their antennae. Workers release pheromones
to your delivery. The robot whistles and chirps in a happy with specific messages, such as “Follow me to food!” or
way to provide a positive customer experience. If there is “Attack the intruder!”. This communication allows the
an issue, you can contact the front desk directly through ants to work together and creates an unplanned group
the robot and get immediate help. In 2015, Savioke’s pro- behavior that is greater than any one individual. Scien-
totype fleet traveled the equivalent of 1,000 miles in five tists have called these coordinated actions ‘emergent
test hotels making over 5,000 deliveries.49 behaviors’. Roboticists often look to nature for inspira-
tion. Swarm robotics is a new approach to the coordi-
Besides working in hotels, delivery robots also transport nation of multirobot systems which consist of large
medicines, meals, linen, documents, and supplies through- numbers of mostly simple mobile robots. The robots are
out hospitals. Aethon is a US-based company best known given simple rules to follow and, like the ants, can show
for mobile delivery robots that work in medical environ- emergent behaviors that are caused by interactions
ments. Its flagship product, called TUG, is essentially a between the robots and their environment.
robotic cart mover that can pull carts from location to
location as needed. The TUG can automatically traverse Kobi Shikar is a young student interested in robotics.50
hallways, drive through doorways, travel up and down in For a college design project in his native country of
elevators, and avoid pedestrians. A map of the hospital is Israel, he envisaged a swarm robot concept he called
created by Aethon’s installation team and is then pro- TransWheel in which many small one-wheeled unicycle
grammed with routes including use of elevators, automat- robots coordinate to perform logistics functions like
ic doors, delivery points, and charging stations. The TUG delivering parcels. Kobi dreams of a future in which
uses the on-board map for guidance and calculates its lo- several of the robots group together to lift and trans-
cation in real time while it uses on-board sensors to adjust port a large box or even an entire shipping container.
to the dynamic and changing hallways. The Aethon and At this time there are several technological hurdles to
Savioke robots are essentially automatic logistics delivery overcome before this becomes reality. How many of
systems and show a glimpse of coming possibilities. Mobile these challenges do you think will be solved by the time
robot technology will not only allow engineers to design Kobi graduates and can pursue his dream for real?
robots that work within a warehouse but will eventually
http://www.savioke.com/blog/
49
http://www.bbc.com/autos/story/20150824-meet-transwheel-the-self-balancing-autonmous-robotic-parcel-delivery-drone
50
2.4 Brains: Computational Power and

Resource Sharing
When designing the next generation of logistics robots,

there is one key element needed to tie together advanced
perception, mobility, and collaboration: computational
power, also known as ‘Brains’. More than any one com-
ponent, the rise of advanced robotics is clearly tied to
improvements in computing speed and power. Advances in
visual image processing, real-time obstacle avoidance, and
other robotic functions all require access to cutting-edge
mathematical algorithms and faster computers. Robots will
continue to improve and take on more complex tasks as
computational power increases.
Because computing speed is so essential, robot design-

ers are pulling out every trick that they can think of to
increase computational power. Once again the consumer
electronics industry has led the way by developing speedy
special-purpose computer chips called graphics processing
units (GPUs) that are used inside computers and video
game systems to very quickly calculate and draw the
fast-moving game images that we see. Robot engineers
have taken these GPUs out of the video game environ-
ment and started to use them to process visual images
from cameras mounted on robotic arms. GPUs are often
more than 10x faster at repetitive tasks than more
general-purpose and well-known central processing units
(CPUs). By using multiple GPUs in parallel, engineers can
increase speeds yet again.
Increasing speed is not the only way to create better

computer chips for robots. In August 2014, IBM introduced
a new computer chip called SyNAPSE that works more like
a human brain than a more traditional microprocessor.
It is the largest chip that IBM has ever made and contains
5.4 billion transistors that emulate 256 million brain-like
synapses.51 The IBM development team feels that this chip
will be better at processing visual signals than traditional
computers while at the same time using significantly
less power. IBM sees this chip as ideal for mobile robots
including those in logistics applications.52
Figure 23: Brain power; Source: IBM
http://research.ibm.com/cognitive-computing/neurosynaptic-chips.shtml#fbid=MzI_LtI7_Hu
51
http://www.cnet.com/news/ibms-truenorth-processor-mimics-the-human-brain/
52
While the IBM chip is very promising, we would need to In 2013 a team at the University of California, Berkeley,
put more than 500,000 of them into one robot to give US, worked with Google to test a cloud robotics concept
it the equivalent capacity of the human brain. Of course using Google Goggles image searches. Several objects
a logistics robot would not need this level of computing were placed in front of a robot.
power to be useful. It is likely that a logistics robot would
only need narrow spikes of high processing power while Using a camera, the robot would take a picture of an item
the rest of the time it would need much less, for example and send it to Google’s computers. Using big data analysis
when analyzing a camera image. This is the concept (exploiting the volume, velocity and complexity of available
behind cloud robotics. information), the Google computers identified the item
and sent back information to the robot on how to best
move its hand to reach and pick up the object.55 These
preliminary tests proved that a cloud robotics approach
If many ‘dumb’ robots could could work in a real world environment.
share one large ‘smart’
computer, each taking turns The best example of cloud robotics currently available
at thinking only when needed, to the public is a humanoid robot called Pepper, a social
we could lower the cost of robot that appears engaging, friendly, happy, and commu-
each robot while greatly nicates with voice, touch, and simulated emotions. On sale
increasing its capability. since early 2015, the first 1,000 units sold out in less than
one minute and 6,000 have been sold worldwide.56
Matthias Heutger
Senior Vice President Strategy, Marketing & Innovation;
Deutsche Post DHL Group
Cloud robotics emerged from the trend of cloud comput-

ing. Across the Internet, cloud computing allows multiple
users to share common computer resources that may be
located far away. For example, when you use your phone
to search Google for an image, it is not your phone that
is doing the work but rather a large array of fast com-
puters at Google that very quickly search through billions
of images in less than one second.53 You are not the only
person who is asking the Google computers to search for
an image; in fact Google is asked to search for images
over one billion times per day.54 With its cloud computing
approach, Google is able to service millions of unique users
each day allowing everyone to benefit from their incredible
IT infrastructure exactly when they need it. Figure 24: Cloud robot Pepper; Source: Aldebaran
53
https://googleblog.blogspot.nl/2010/07/ooh-ahh-google-images-presents-nicer.html
54
http://www.bbc.com/news/technology-10693439
55
http://queue.ieor.berkeley.edu/~goldberg/pubs/Grasping-with-Google-Goggles-icra-2013.pdf
56
http://edition.cnn.com/2015/06/22/tech/pepper-robot-sold-out/
For a price of $1,600 you can buy a Pepper for your home the individual robot only has enough computational
to play with your children, act as a personal assistant, power to do simple tasks.
or even entertain your guests. Using an array of sensors,
including two cameras and a microphone, Pepper can Using the cloud approach gives Pepper some unique
follow you around a room telling jokes, offering advice, features. Its manufacturer, the French company Aldebaran
and otherwise engaging with the people around it. Robotics, can add new languages to all Pepper robots
Pepper speaks multiple languages and will attempt to at the same time just by upgrading its cloud computer.
understand your emotion state and react accordingly.57 Much as with a cellphone, software upgrades can be
automatically downloaded to the robot to improve
various features and fix bugs as needed.
How can such an inexpensive robot have
these skills? The robots will collectively record data from all of their
interactions and use this to improve their performance
The robot is connected via WiFi and the Internet to over time. In one example presented by Aldebaran, if the
a cloud computer in Japan where all of the difficult robot reads a book that many children like, it may suggest
language and emotional processing happens while that same book to more kids in the future.58
Cloud Robotics and Data Security
To keep hardware costs low, much of the data collected

by these robots is sent via the Internet to a central com-
puter for processing before instructions are sent back to
the robot. How secure is this data stream? Could a hack-
er crack into the system and watch you through the
robot’s eyes? Or possibly worse, could the hacker take
control of the robot and threaten to damage your
house while you are gone?
New technologies always come with new challenges,

and data security is one of the latest problems to affect
our lives. The good news for robotics is that most of the
Figure 25: Designed to live with human; Source: Aldebaran security concerns related to cloud computing are well
known and many companies are working hard to keep
Social robots such as Pepper are designed to live with us cloud computing safe. It is clear, however, that cloud
in our homes. They have cameras and microphones that robotics will give rise to new regulatory, accountability,
monitor what we do all day long so that they can prop- ethical, and legal issues that society will need to resolve
erly interact with us when needed. as fast as we knock down the technological barriers.
http://www.dailymail.co.uk/sciencetech/article-3159392/What-s-like-live-Pepper-emotional-robot-Humanoid-gives-compliments-offers-advice-prattles-on.html
57
http://spectrum.ieee.org/automaton/robotics/home-robots/pepper-aldebaran-softbank-personal-robot
58
2.5 Exoskeletons: The Ultimate in Human Other universities and private companies are starting to
Robotics Collaboration develop exoskeletons as well. They see the opportunity
to improve working conditions for anyone who does
This report has already discussed how robots and people repetitive or heavy manual labor in industries such as
can work together side by side. Some engineers have logistics, manufacturing, forestry, and construction.
asked: Is there a way to go even further and use robotics Exoskeletons promise people the opportunity to work
technology to not merely enhance but actually supplement more productively with less stress, fatigue, injury, and
human performance? ergonomic problems. As people get older, exoskeletons
will allow people to continue to be physically productive
The term exoskeleton comes from nature and means outer later in life, both at work and in our homes. Developments
skeleton. For example, many insects, crabs and lobsters in robotics and exoskeleton technology will go hand in
have exoskeletons to provide support rather than an inner hand; improvements in one will benefit the other.
skeleton like humans do. Roboticists have morphed this
concept into the dream of a ‘robot suit’ that a person can
wear to give them the power, strength, and endurance
that they would not normally have. The suit would strap
onto the body using a harness attached to a robot frame,
sensors, and motors that follow and support a person’s
movements as they lift and carry heavy objects.
In July 2015, the Japanese company Panasonic announced

it will begin selling a robotic exoskeleton called the Assist
Suit AWN-03.59 Weighing less than 6 kg, this suit will retail
for less than $9,000 and allow a person to carry 15 kg for
up to eight hours on a single battery charge. Panasonic
hopes to sell as many as 1,000 suits a year and plans to
launch an improved version that will enable workers to
carry up to 80 kg in the future. The company sees the
logistics arena as a key market for this product line and
plans to offer leasing options to help promote widespread
adoption of this technology.
Harvard University in the US is working on developing

a ‘soft exosuit’ that does not use rigid metal bars and
jointed links.60 The prototype suit is designed to mimic and
enhance human muscles through the use of motors and
cables. These soft systems have several advantages over a
traditional exoskeleton. The suit is extremely light and the
wearer's arms and legs are unconstrained by external rigid
structures. These properties minimize the suit's uninten-
tional interference with the body's natural movement Figure 26: Soft exosuit developed by Harvard University; Source:
making them more likely to be accepted by the wearer. phys.org
http://www.ibtimes.co.uk/panasonic-mass-produce-alien-style-robot-exoskeleton-suit-help-workers-heavy-lifting-1509593
59
http://biodesign.seas.harvard.edu/soft-exosuits
60
22 Near Future – Examples in Logistics
3 NEAR FUTURE – EXAMPLES IN LOGISTICS
The recent advancements discussed in this report have The research finds that just 5% of current warehouses
opened up new possibilities and now some designers have are automated. The reality today is that these automated
turned their attention towards logistics applications that warehouses are typically highly mechanized environments
were not previously possible. The goal of this section of that still employ people in key functions. An example
the trend report is to highlight some examples of robotic would be a modern sorting center which has much higher
systems for the world of logistics that are currently under productivity and accuracy than in previous generations.
development or even available today. Even with all of this advanced technology, in large sorting
hubs there may still be more than 1,000 employees who
spend their time loading and unloading trucks, handling
3.1 Current State of Robotics in Logistics parcel ULD containers, and manually sorting odd-sized items.
Research shows that 80% of current warehouses are

manually operated with no supporting automation.61 3.2 Trailer and Container Unloading
These warehouses have dealt with demands for increased Robots
productivity and throughput by supporting existing work-
ers with good layout design, mobile material handling Many of the goods for sale in Europe and the US are
equipment, and constantly improving IT. made in Asia and most of these items cross the ocean
in standardized shipping containers. To save on transport
Some 15% of our current warehouses are mechanized. costs, the majority of these goods are loaded on the floor
In addition to the technology used in manual warehouses, of the container and stacked to the ceiling without pallets.
these distribution centers also use some type of material When the container arrives at a port, it is loaded onto
handling automation such as conveyors, sorters, goods- a truck and sent to a distribution center. On arrival, the
to-picker solutions, and other mechanized equipment to contents of the container are typically unloaded by hand,
further improve the productivity of the existing workforce. sorted, and stacked onto pallets so that they can be stored
While some of the components of these systems (ASRS / in the warehouse. This very manual and labor-intensive
AGVs / shuttles) could be accurately considered as a type process can take several hours. Similarly, many long-haul
of robot, they are generally not in the same category as parcel trucks are loaded floor to ceiling without pallets
the robotic systems discussed so far in this trend report. and require significant labor to unload.
In an attempt to deal with this problem, in 2003 DHL and

its business and research partners worked to develop a
new prototype – the Parcel Robot which consists essentially
of the following components: a chassis, a telescopic
conveyor belt, a 3D laser scanner, and a gripping system
made up of an articulated robotic arm and a grabber.
The robot is positioned in front of a container to unload
and uses its laser to scan all of the boxes. An integrated
computer then analyzes the various sizes of parcel and
determines the optimal unloading sequence. The robot
picks up a box and places it onto a conveyor that
transports the item out of the container and into
Figure 27: DHL warehouse; Source: Deutsche Post DHL Group the sorting center.
St. Onge Company internal survey of customers

61
Near Future – Examples in Logistics 23
Figure 28: DHL Parcel Robot; Source: Deutsche Post DHL Group
The robot moves forward as it works until the entire 3.3 Stationary Piece Picking Robots
truck is unloaded. DHL never rolled out this concept across
its network as in 2003 the technology was insufficiently A traditional warehouse employee typically spends most
mature to implement. of his or her time walking around the warehouse to
gather all of the items for an order. In a manual Amazon
Nevertheless, DHL’s innovative Parcel Robot proved to warehouse, a picker might walk between seven and
the world that robotic unloading was possible and several fifteen miles per shift.64 As previously mentioned, to save
companies have since developed the concept further. labor by reducing the time spent walking, Amazon bought
A US company called Wynright currently offers a truck the company Kiva that builds mobile robots. These robots
unloading robot for sale Like the DHL Parcel Robot,
62
can pick up a shelf of goods and bring the entire shelf to
it unloads boxes onto an extendable conveyor belt at a the picker who stays in one spot, effectively turning these
rate of over 500 parcels per hour. Unlike the DHL robot,
63
humans into stationary assembly line workers. After the
it uses low-cost cameras to locate the boxes rather than picker selects the needed items, the shelf moves away and
more expensive laser scanners. Over time this technology a different shelf arrives to take its place. This so-called
should become more cost effective, faster, and more goods-to-picker concept can be found in several techno-
reliable as cameras, computers, and robotic arms logies on the market today such as Swisslog´s CarryPick
continue to improve. mobile system. It is possible in some cases to save 50%
of warehouse picking labor with these systems through
Companies like Wynright are also developing trailer the elimination of walking. Currently, most of these
loading robots. This application adds further complexity systems are very capital intensive, requiring a network
to the software because the system now has to determine of connected shelves, tracks, robotic shuttles, elevators,
the best way to stack boxes of different shapes and and conveyors. Even after this investment, they still
weights to optimally fill the trailer without damaging require a significant number of people to pick items from
any of the items. an automatically presented plastic tote or mobile shelf.
62
http://www.wynright.com/products/by-product-family/robotic-solutions/truck-and-container-loading-and-unloading/
63
http://dhbusinessledger.com/Content/Richard-R--Klicki-s-Business-Tech/Richard-R--Klicki-s-Business-Tech/Article/Wynright-s-robot-brings-tech-to-the-loading-
dock/107/197/9458
64
http://www.businessinsider.com/working-conditions-at-an-amazon-warehouse-2013-2?IR=T
In order to stimulate progress, Amazon took an innovative

approach. In 2015, the company launched a robotic piece
picking challenge to the world. Amazon offered a $20,000
prize to anyone who could build a robot capable of iden-
tifying and picking the most items from the shelves it uses
in its Kiva system. Twenty-eight teams entered the contest
and went head to head to compete for the prize. Two
things were immediately apparent. First, there were as
many different ways to tackle this problem as there were
competitors. Second, it is still a very difficult problem
to solve. The winning team was a group of researchers
Figure 29: Goods-to-picker concept; Source: Swisslog from the Technical University of Berlin, Germany; their
robot successfully picked ten items while the rest of the
contestants were far behind.68
While these systems save walking, a relatively large labor
force remains doing the very repetitive task of picking
objects from one container and placing them into another.
Besides being extremely boring, this is not ergonomically
optimal for the operator; this person must perform the
same set of movements over and over again with limited
variation in the task.
The companies that make the large goods-to-picker

material handling systems have seen this problem as
an opportunity to introduce robotic arms into their
systems. An example is the German company SSI Schaefer
that offers a product called Robo-Pick.65 This is a typical Figure 30: Pick it easy; Source: Knapp
stationary industrial robot that is bolted inside a traditional
robot work cell. The robot uses a camera to identify items
in a plastic tote which has been delivered to the work
cell by one of SSI Schaefer’s large automated tote storage Recent developments in
and retrieval systems. Once the robot has located an robotics might turn out to
item, it picks the product up and places it on a small be a game changer for the
buffer conveyor that will ultimately deposit the item logistics industry. Robots now
in a separate transport tote. SSI Schaefer claims that its are able to perceive, pick,
robot can pick up to 2,400 items per hour depending manipulate, and place a wide variety
on product characteristics and order profile. Currently of objects in less and less structured
the system seems to work best with small rectangular environments. The technologies we
products such as DVDs and pharmaceutical boxes. developed proved to be crucial for winning
the challenge, and we hope they will
Similar systems have been developed by the companies enable further advances in logistics and
Knapp and Viastore.66 Knapp’s system can automatically other industrial applications, boosting
change its vacuum cup gripper to better match the productivity, reliability, and profitability.
product, while Viastore’s system not only picks an
item but can also place the item into a final shipping Prof. Dr. Oliver Brock
carton as well. 67
Robotics and Biology Laboratory,
Technical University of Berlin
65
http://www.ssi-schaefer.us/automated-systems/systems-products/picking-systems/schaefer-robo-pick.html
66
https://www.knapp.com/cms/cms.php?pageName=glossary&iD=87
67
http://us.viastore.com/order-picking-systems/viapick/
68
http://www.engadget.com/2015/06/01/amazon-picking-challenge-winner/
One of the best things to come out of the Amazon It is the need for a large and expensive goods-to-picker
challenge is that these new bright students are not system to support the robots. Another issue is that these
afraid to tackle logistics problems and see that there large systems are not easy to move from one building
is still great potential to impact the future. to another when a distribution network changes. In most
cases the system would need to be scrapped instead of
These systems show a lot of promise and will improve moved, due to its complexity and sheer size. These systems
over time as vision technology and grip planning may be affordable for the largest warehouses but what
algorithms are refined, allowing for a wider array of about mid-size to small operations? Could robotic picking
items to be handled beyond small rectangular boxes. be developed to eliminate the need for a goods-to-picker
There is one major downside to this approach, however. solution?
3.4 Mobile Piece Picking Robots

The Amazon Picking Challenge Winners
The opposite of the goods-to-picker system would be a
mobile robot that drives around traditional warehouse
shelves and picks items just like a person would. Several
startup companies are currently working on robots that
can do just that.
IAM Robotics is a small company based in the United

States. It is currently developing a mobile robot with an
arm on top and a camera system that can navigate an
existing warehouse and pick items from shelves and place
Figure 31: Amazon Picking Challenge Winner; Source: TU Berlin them into an order tote. The system was first field tested
in a pharmaceutical warehouse in New York where it was
When Amazon issues a challenge, the world listens. able to pick test orders from 40 items that it had never
The Amazon Picking Challenge was a contest held in seen before.69 The robot will be tested next in a more
2015, designed to drive advancement in the area of general goods warehouse where it will be integrated with
automated piece picking with robots. The event a warehouse management system (WMS) for the first time
attracted teams from around the world including and pick live orders. IAM Robotics hopes to have a com-
Canada, China, Germany, Italy, Singapore, Spain, mercial version of its system available sometime in 2016.
and the US.
The company Fetch Robotics is a well-funded startup that
At the end of the event there was no question about is also developing a robot that will drive around a ware-
who was the winner. With a 60-point lead over their house picking items from shelves. Its primary robot, called
nearest competitor, the German team RBO from the Fetch, can extend its torso to reach upper shelves while a
Technical University of Berlin won the contest con- small secondary robot, call Freight, helpfully holds the
vincingly. In only a few short months, the team of tote that Fetch will pick items into. Each Fetch robot can
German researchers had combined a robotic arm, have several of these smaller Freight robots supporting
an omnidirectional mobile robotic base, several sensors, the picking process. The agile Freight robots quickly move
and some advanced computer algorithms to create the totes around the warehouse from area to area while
the winning system. the slower Fetch robots can stay in one aisle and focus
on picking items. This effectively creates a hybrid of the
Based on the great outcomes of this event, Amazon goods-to-picker approach and the traditional manual
has announced that the contest will be conducted picking concept. Fetch Robotics intends to also sell the
again in 2016. This time it will be held in Leipzig, smaller Freight robots separately; these can be used to
Germany. help human workers in warehouses containing items
that are too complicated for the Fetch robot.
http://www.logisticsmgmt.com/article/the_robots_are_coming_part_iii
69
focus on solving exceptions. Moving to a new warehouse

would be easier since the robots are not bolted to the
floor and a market for used robots would develop,
reducing investment risk.
3.5 Co-Packing and Customization
The next time that you walk through a grocery store,

take a look at all of the different ways that products are
Figure 32: Fetch and Freight; Source: Fetch Robotics displayed. You will see items with special ‘half off’ price
stickers or you might see two items bundled together so
that you can ‘buy one get one free’. Retailers have found
Magazino is a German startup company that develops and that these modifications will catch our eye and cause us
builds perception-driven mobile robots for intralogistics. to buy more. This is a great sales device but it is expensive
Its latest development is the picking robot TORU. Using because adding all of these stickers, building the displays,
2D and 3D cameras and Magazino's technology, this robot and repackaging items takes a lot of labor and space.
can identify individual objects on a shelf, grasp an item The retailers don’t want to deal with this extra labor so
securely, and place it precisely at its destination. TORU they have decided to push this problem to their suppliers.
works alongside humans, providing just-in-time object Now every major producer of shampoo, batteries, soup,
delivery to the workbench or shipping station. DPDHL and other merchandise is at risk of receiving requests to
plans to test TORU in a fulfillment center for 2016. modify their products specifically for key customers, often
with very little advanced warning. These last-minute
modifications are often referred to as co-packing or
customization.
In many cases, the customization process involves opening

a box of products, taking out the items, doing something
simple to them like putting on a sticker, and then packing
the items back into the box. The processes are not normally
difficult; they just take up space and require a lot of labor.
The key to being a good co-packer is flexibility since every
day means working with different products and slightly
different modifications. Traditional industrial robots do
not have this kind of flexibility so most co-packing is
done manually.
Figure 33: Mobile piece picking robot; Source: Magazino
Earlier in this report we mentioned the robot Baxter
from Rethink Robotics. Let’s describe Baxter in a bit
There are still technical and cost challenges to overcome more detail to highlight some of the things that make
before these robots will be ready for widespread use but this robot special. Baxter is a collaborative robot and is
they have some key advantages over stationary goods-to- designed to work safely around people. Its two arms are
picker robots. First of all, the concept is much more scala- plastic; it has springs in its joints and sensors to shut off
ble. If you have a small distribution center, you may only the arms if they hit something. There is a sensor in Baxter’s
need one or two mobile robots and you could add robots head that scans around the robot causing it to slow down
one at a time as you grow. One can even envisage renting if people come close, and Baxter has three built-in cameras
or leasing the robots; the warehouse could first test a few that it uses to identify and pick up objects. Baxter plugs
of them during low times and later rent more during busy into a normal wall outlet and can be set up in minutes
periods when more help is needed. These robots could by someone with little or no training. Rethink Robotics
work alongside existing workers, picking easy items while can automatically download software updates to the
the humans pick the more complicated products or robot as needed to improve its performance over time,
and an update in June 2014 made the robot twice as fast 3.6 Home Delivery Robots
and twice as precise. One key goal for Baxter’s design
70
team was to create a robot that an average person could In November 2015, a startup company in London, UK,
train just by grabbing one of the robot’s arms and leading called Starship Technologies announced that it will begin
it through a simple task. This would allow Baxter to ‘learn’ building and selling parcel delivery robots.71 Started by
the task and perform it over and over again. All of these two of Skype’s original co-founders, the company already
capabilities are now available for the unheard-of low has strong funding and a team of engineers.
price of $30,000 per robot.
Although only at the prototype stage now, the Starship
team is dreaming big. It is developing a small mobile
robot that can drive on sidewalks at 6 km/h and deliver
packages directly to consumer homes. Capable of carrying
the equivalent of two grocery bags, the goal is for the
robot to complete deliveries within 30 minutes from a
local hub or retail outlet. Customers will be able to choose
from a selection of short, precise delivery slots – meaning
goods arrive at a time that suits them. During delivery,
shoppers will track the robot’s location in real time through
a mobile app and, on arrival, only the customer can unlock
the cargo with their phone. It is intended that the robot
drives autonomously while, at the same time, it is overseen
by human operators who can step in to ensure safety at
Figure 34: Baxter at the DHL Asia Pacific Innovation Center; all times.
Source: Deutsche Post DHL Group
Starship Technologies is currently testing and demonstrat-
In theory, Baxter should be perfect for co-packing since it ing prototypes and plans to launch the first pilot services
was originally designed for end-of-production-line packing in the UK, US, and other countries in 2016. Some compe-
applications. DHL has purchased several Baxter robots and titors to Starship, such as the California-based Dispatch
is currently evaluating the system in a laboratory setting. Robotics in the US, also plan to run real-world tests in
Baxter was a first-generation model for Rethink Robotics 2016 while others, such as Ecotranzit72 are still in the
and, although it incorporated innovative ideas and new concept design phase.
technology in ways never before seen, testing has shown
that it cannot yet handle all common co-packing tasks. The ground delivery robot concept is an interesting
Recently the company has developed a second robot, companion to the idea of using drones for delivery.
called Sawyer, that is supposed to solve many of the issues You can learn more about drone delivery in the DHL
found with Baxter while keeping the positive aspects. Unmanned Aerial Vehicles In Logistics Trend Report.
Time will tell if Sawyer or Baxter will be a success in the
market. As with Baxter, DHL will soon be testing Sawyer to
determine where it might fit into the world of logistics.
In many ways, Baxter exemplifies the story of the modern

logistics robot. The technology is not quite ready but it is
evolving fast and shows great promise. New ideas, low-
cost sensors, faster computers, and innovative robotics are
being combined in research laboratories around the world.
Soon a few of these robots will live up to their hype and
be ready for prime-time, causing a revolution in the way
that we think about logistics. Figure 35: Home delivery robot; Source: Starship Technologies
70
http://www.betaboston.com/news/2014/06/19/baxter-gets-faster-as-rethink-gives-its-worker-robot-an-upgrade/
71
https://www.starship.xyz/
72
http://www.theglobeandmail.com/globe-drive/culture/technology/shipping-robot-would-deliver-packages-faster-and-not-block-streets/article27506428/
28 Future Vision Future Vision 29
4 FUTURE VISION Employees will train the robots through simple interfaces
to do easy and repetitive tasks, and these humans will take
on the more challenging work themselves. Both small and
Throughout this report, we have seen many important large warehouses will enjoy productivity gains as we add –
improvements in robotics technology, along with clear on an as-needed basis – the robots that have proved to be
evidence that robots are now starting to enter the world successful in supporting the existing workforce.
of logistics. In the preceding chapter, we explored the
innovative new technologies that, with further develop- Workers will be able to flex and scale operational capacity
ment, could soon be ready for full-scale testing. So looking according to changing demand simply by adding more
ahead, in this chapter we consider what will happen when robots to cover peaks and automatically removing them
these latest technologies mature and become widely avail- from the building (relocating them to where they are
able. The following is one possible snapshot of our future. next needed) to rebalance the distribution network.
And we will experience the emergence of a robot leasing,
rental, and pre-owned market allowing companies to
4.1 Distribution Centers reduce capital investments while further increasing
operational flexibility.
Compared with the distribution centers of today, the
robotic warehouses of our future are likely to improve
in almost every metric. These highly scalable facilities will
be more flexible and faster to relocate; they will achieve
higher productivity with increased quality.
New operations will incorporate different types of robot

each with a specific job to perform such as unloading
trucks, co-packing, picking orders, checking inventory,
or shipping goods. Most of these robots will be mobile
and self-contained but they will be coordinated through
advanced warehouse management systems and equipped
with planning software to track inventory movements
and progress orders with a high degree of accuracy.
Overall reliability will increase because there will be

fewer ‘single points of failure’ in each distribution center.
As each robot acts as an individual unit, we will be able
to quickly push it to the side if it breaks down and replace
it with another unit from the robot fleet. Depending on
the problem, we will be able to fix the broken robot on
site or send it to a central repair facility. The new robot
will be connected to the cloud so it will automatically
download the knowledge needed to take over from
its decommissioned counterpart.
Warehouse workers will be given more responsibility and

higher-level tasks such as managing operations, coordinat-
ing flows, fixing robots, and handling exceptions or diffi-
cult orders. They will wear exoskeletons to help them lift
heavy goods with less strain, fatigue, and chance of injury.
When necessary, we will bring goods into a co-packing
area where collaborative robots will work safely alongside
highly skilled warehouse employees to transform basic
products into new items customized for individual orders.
4.2 Sorting Centers
Unlike today, the sorting centers of the future will run

continuously, 24 hours per day, to better align with the
distribution centers that will also operate around the
clock. Robotic warehouses and sorting centers will be just
as effective on the last shift as they are on the first shift.
Working in waves, the new supply chain will facilitate
multiple shipments to end customers each day. By fully
utilizing equipment across shifts, we will be able to lower
logistics costs and, by processing multiple daily delivery
waves, we will achieve faster service to end customers.
Goods will be brought to the sorting center by self-driving
trucks. These will arrive according to specific scheduled
timeslots, and we will be able to efficiently control truck
movements onto and around the yard using GPS and
a yard management system.
When a truck arrives at the dock door, robots will unload

it and sort the parcels according to final destinations.
There are several possible approaches to accomplish this.
For example, we could think of using a large number of
mobile robots to transport the parcels from inbound dock
doors to the appropriate loading areas. Each mobile robot
would be loaded with parcels by a robotic arm; it would
then group and sequence itself with other mobile robots
to efficiently transport loads throughout the sorting
center. When a truck arrives with dangerous goods, these
will be automatically sorted, handled, and transported
separately and securely. All of these tasks will be super-
vised by employees working in a robot-control center;
these humans will address any issues, manage workflows,
and make key operational decisions. Employees will also
handle any exception parcels such as items that require
repacking, relabeling, or a customs check.
When leaving the sorting center, most parcels will be

loaded by robotic arms into line haul trucks which take
them to the next sorting center in the network. Some
items will be loaded into drones for airborne delivery
to hard-to-reach addresses. Local delivery items will be
loaded into mobile parcel robots which take them to
individual homes in the surrounding area. And if the
recipient is a high-priority customer, they will be able
to send their personal self-driving vehicle to the sorting
center; they can continue with their busy day elsewhere
while their parcel is placed automatically into the trunk.
It’s clear to see that the advantages of these futuristic
sorting centers – speed, flexibility, higher productivity,
and more – will translate into better service for end
customers, achieving faster delivery at a lower cost.
4.3 Last-Mile Delivery What about larger items? They will still be delivered to
our homes by human employees, but they will be using
In future, the general public will interface with robots on exoskeletons to safely lift heavy weights. They may be
a daily basis. We won’t fear for our physical safety because assisted by mobile robots carrying several items and following
these robots will avoid bumping into us using advanced behind the human along their route. If you live in a large
sensors such as cameras, laser scanners, and proximity sens- apartment building, a small mobile delivery robot may
ing skin. Using cloud computing techniques, these robots automatically take the elevator to your floor and, once
will provide high-quality customer service; they will be able outside your front door, call your mobile phone. You will
to speak our language, react to our emotions, and access simply open your door and enter a code into the robot;
appropriate account information to ensure successful this allows a compartment to open, and you will be able
interaction. The first robots that we are likely to encounter to access your parcel. If you live in a remote area, a drone
are the ones at local parcel service centers. Here, a robot may message you from your driveway and require a similar
assistant may help us to ship a present to an old friend. access code procedure. In both cases, you will be able to
preplan the delivery time to fit your daily schedule since
Another everyday occurrence could be the receipt of this single parcel delivery vehicle will be sent only to you.
an email informing us that there’s a small package for
collection at a mobile parcel locker located outside a What if you are not home? Your own personal robot will
nearby store. How did it get there? Early each morning be able to open the front door to accept the parcel on your
these lockers will be swapped out by self-driving trucks behalf. It’s more than likely that our homes, cars, and per-
for lockers holding new parcels which have been preload- sonal robots will all work together in the future, ensuring
ed the evening before by robots at the local sorting center. we always receive our deliveries safely and on time!
34 Conclusion and Outlook
CONCLUSION AND OUTLOOK
Every day we interact with products that were built Retailers like Amazon are leading the way, embracing
by robots and yet we never think about it. These robots robotics technology by making large investments. Equip-
impact our world even though they are hidden away ment providers see this trend and are designing robots
in factories that we never see. We are entering a point into their logistics systems as the cost of the technology
in time when robots will become more visible and drops and capabilities improve.
impact our lives more directly: in our stores, in our
offices, and in our homes. And as robots improve and With these advances, we are seeing first examples of
our acceptance of them grows, they will also enter self-contained mobile picking robots as well as robot
the world of logistics. forklifts entering distribution centers, and initial trials
seem positive. There is still a long way to go before
Interest in the field of robotics is clearly increasing. robotics technology is ready and major improvements
More funding is pouring into development than ever are still required but many of the pieces are now in
before from governments, large companies, and venture place to drive progress.
capitalists. Low-cost sensors and faster computers have
made previously impossible challenges more manageable. It seems clear that it is not a matter of “if” but rather
Engineering students now see true potential for advance- “when” robots will be working in our parcel sorting
ment, and are being enticed into this field by exciting hubs, distribution centers, and delivery vans. The business
jobs in robotics. leaders of the future need to understand this technology
and start planning for the day when it provides a viable
Studies show that there will be a labor shortage in many solution to ever-growing pressures on the supply chain.
developed countries over the course of the next twenty
years. This is problematic for e-commerce, which increases The history of robotics includes many stories of hype and
the need for labor in warehouses and greatly adds to disappointment, but if you take a step back you can see
the number of parcels flowing to consumer homes. steady progress. There is an incredible difference between
the robots of the 1960s and those of today. The speed
Finding enough labor for the logistics industry could of progress is increasing rapidly with new advancements
become extremely difficult or even impossible. In and breakthroughs happening every day. Our young
answer to this, managers are learning the advantages children can’t picture a world without computers and
of supplementing workers with collaborative robots, it is likely that their children will feel the same way about
effectively allowing people to do more complex and robots. The outlook for robotics is very positive and the
rewarding tasks while at the same time improving world of logistics will benefit from the coming advances
overall productivity. in robotics technology.
Sources 35
SOURCES
ABB Rethink Robotics

http://new.abb.com/products/robotics/de/yumi http://www.rethinkrobotics.com/
Agrobot Schunk
http://www.agrobot.com/ourcompany.html http://mobile.schunk-microsite.com/en/produkte/produkte/servo-electric-
5-finger-gripping-hand-svh.html
Aldebaran
https://www.aldebaran.com/en/press/gallery/pepper Slashgear
http://cdn.slashgear.com/wp-content/uploads/2014/11/K5-2.0-Green.jpg.jpg
Computer History Museum
http://s7.computerhistory.org/is/image/CHM/500004901- Starship Technologies
03-01?$re-medium$ https://www.starship.xyz/
Fetch Robotics Swisslog

http://fetchrobotics.com/ http://www.swisslog.com/-/media/Swisslog/Pictures/teaser_big_2000x1500/
WDS/Warehouse_and_Distribution_Solutions_CarryPick.gif
IBM
http://www-03.ibm.com/press/us/en/photo/44530.wss TakkTile
http://www.takktile.com/main:update
Knapp
https://www.knapp.com/cms/cms.php?pageName=glossary&iD=72 The public domain review
http://publicdomainreview.org/collections/france-in-the-year-2000-
Magazino 1899-1910/
http://www.magazino.eu/
TU Berlin
Microsoft https://www.robotics.tu-berlin.de/
http://news.microsoft.com/?attachment_id=23444
http://news.microsoft.com/?attachment_id=23465 TU Munich
http://mediatum.ub.tum.de/node?id=1221381
phys.org
http://phys.org/wire-news/171884028/harvards-wyss-institute- Universal Robots
awarded-darpa-contract-to-further-develo.html http://www.universal-robots.com/media/240980/ur3_gluing_03.jpg
Popular Science Word Press

http://www.popsci.com/article/technology/why-google-building-robot-army2 http://robotnext.com/tag/swarm
ABOUT THE AUTHOR
Tom Bonkenburg is a partner in St. Onge Company, an international
supply chain engineering and consulting firm. For the past 18 years
Tom has helped top companies design and implement innovative
distribution and manufacturing centers. Many of his consulting ef-
forts have focused on developing custom automation and robotics
within the distribution and warehousing environments. His past
clients have included companies such as Dell Computer, Johnson
& Johnson, Wal-Mart, Amazon, ExxonMobil, Baxter Healthcare,
Proctor & Gamble, Samsung, Unilever, Adidas, Dow Corning, Kraft
Foods, Merck, Urban Outfitters, Lockheed Martin, Stryker, Vistaprint,
Becton Dickinson, Boston Scientific, Pepsi, and DHL among others.
Tom currently lives in the Netherlands where he leads St. Onge
Company’s European office.
ABOUT ST. ONGE COMPANY

Since its founding in 1983, St. Onge Company has performed over
3,000 assignments for over 750 clients in more than 50 countries
and now has offices in the US, Europe, Middle East, and Asia.
As a fully independent consulting company, it provides unbiased
supply chain engineering services such as:
S upply Chain Strategy and Network Optimization

Insourcing vs Outsourcing Analysis and 3PL Tendering
Distribution and Manufacturing Center Design
Equipment Specification and Procurement Support
Project and Implementation Management
Audits, Assessment, Benchmarking, and Training
You can learn more about St. Onge Company here:

www.stonge.com
OUR PARTNERS
Words Europe Limited Rasterpixel Mediendesign

Kay Mussellwhite Sebastian Narloch
Suite 211 An der Gümpgesbrücke 26
80 High Street 41564 Kaarst, Germany
Winchester SO23 9AT, UK Phone: +49 2131 5247331
Phone: +44 208 144 1340 Mobile: +49 176 61628125
e-mail: kay@words-europe.com e-mail: narloch@rasterpixel.de

www.words-europe.com www.rasterpixel.de
FOR MORE INFORMATION
About ’ROBOTICS IN LOGISTICS‘, contact:
Dr. Markus Kückelhaus Dr. Antje Huber

Vice President Innovation and Trend Research Vice President Innovation “Robotics“
DHL Customer Solutions and Innovation Deutsche Post DHL Group (Post - eCommerce - Parcel)
Junkersring 55 Fritz-Erler-Str. 4
53844 Troisdorf, Germany 53113 Bonn
Phone: +49 2241 1203 230 Phone: +49 228 182 11961
Mobile: +49 152 5797 0580 Mobile: +49 171 5621010
e-mail: markus.kueckelhaus@dhl.com e-mail: antje.huber@deutschepost.de
RECOMMENDED READING
LOGISTICS AUGMENTED REALITY LOW-COST SENSOR BIG DATA UNMANNED AERIAL

TREND RADAR IN LOGISTICS TECHNOLOGY IN LOGISTICS VEHICLES IN LOGISTICS
www.dhl.com/trendradar www.dhl.com/augmentedreality www.dhl.com/lcst www.dhl.com/bigdata www.dhl.com/uav
SELF-DRIVING VEHICLES INTERNET OF THINGS FAIR AND RESPONSIBLE OMNI-CHANNEL

IN LOGISTICS IN LOGISTICS LOGISTICS LOGISTICS
www.dhl.com/selfdriving www.dhl.com/IOT www.dhl.com/fairresponsible www.dhl.com/omnichannel

DHL Trendreport Robotics PDF

Uploaded by

Copyright:

Available Formats

DHL Trendreport Robotics PDF

Uploaded by

Document Information

Original Description:

Original Title

Copyright

Available Formats

Share this document

Share or Embed Document

Sharing Options

Did you find this document useful?

Is this content inappropriate?

Copyright:

Available Formats

DHL Trendreport Robotics PDF

Uploaded by

Copyright:

Available Formats

ROBOTICS IN LOGISTICS

A DPDHL perspective on implications

Powered by DHL Trend Research

PROJECT MANAGEMENT AND EDITORIAL OFFICE

Dr. Markus Kückelhaus Dr. Clemens Beckmann

1 UNDERSTANDING ROBOTICS ............................................... 3

2 ENABLING TECHNOLOGY TRENDS ....................................... 10

3 NEAR FUTURE – EXAMPLES IN LOGISTICS .......................... 22

4 FUTURE VISION ..................................................................... 28

CONCLUSION AND OUTLOOK ...................................................... 34

1.2 Robotics in Logistics: Why Now?

One of the biggest challenges facing the logistics industry

The main reason for the lack of logistics robots is techno-

logistics, however, is much more complex than manu-

Robotics technology is finally beginning to catch up

“Leonardo da Vinci‘s Robots“. Leonardo3.net. Retrieved 2008-09-25

1.3 History of Hype

Robotics is big news today. In the last twelve months

Governments are not the only organizations funding

Figure 8: Startup Rethink Robotics; Source: Rethink Robotics

In the span of twelve months, Google bought eight

It is very difficult to create a definition of a robot that

2 ENABLING TECHNOLOGY TRENDS

Figure 12: Technology trends enabling advanced robotics

2.1 Eyes: Accurate and Low-Cost

Every day we use our five senses to navigate the world

Figure 14: The Kinect Effect; Source: Microsoft

calculating the proper orientation for the robotic hand

This company has taken a unique approach, trying to make

Microsoft’s willingness to allow collaboration opened

Figure 15: Strawberry picking machine; Source: Agrobot

For workers to accept robots as colleagues, designs must

Robotic arms themselves have been getting less expensive.

One company, Universal Robotics based in Odense,

Due to YuMi’s size and human-like configuration, ABB

Even with lightweight materials, sensors, and padding,

2.3 Feet: Mobility with Intelligence

open up the possibility of allowing robots to drive on our

Figure 21: Mobile security robot; Source: Slashgear

Delivery robots, in fact, are currently moving mail and

2.4 Brains: Computational Power and

When designing the next generation of logistics robots,

Because computing speed is so essential, robot design-

Increasing speed is not the only way to create better

Figure 23: Brain power; Source: IBM

Cloud robotics emerged from the trend of cloud comput-

Cloud Robotics and Data Security

To keep hardware costs low, much of the data collected

New technologies always come with new challenges,

In July 2015, the Japanese company Panasonic announced

Harvard University in the US is working on developing

3 NEAR FUTURE – EXAMPLES IN LOGISTICS

Research shows that 80% of current warehouses are

In an attempt to deal with this problem, in 2003 DHL and

St. Onge Company internal survey of customers

In order to stimulate progress, Amazon took an innovative

The companies that make the large goods-to-picker

3.4 Mobile Piece Picking Robots

1.2 Robotics in Logistics: Why Now?

1.3 History of Hype

2.1 Eyes: Accurate and Low-Cost

2.3 Feet: Mobility with Intelligence

2.4 Brains: Computational Power and

3.4 Mobile Piece Picking Robots

3.5 Co-Packing and Customization

4.2 Sorting Centers

S upply Chain Strategy and Network Optimization