Seth Jared Teller
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- article
A Situationally Aware Voice-commandable Robotic Forklift Working Alongside People in Unstructured Outdoor Environments
- Matthew R. Walter
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - Matthew Antone
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - Ekapol Chuangsuwanich
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - Andrew Correa
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - Randall Davis
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - Luke Fletcher
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - Emilio Frazzoli
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - Yuli Friedman
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - James Glass
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - Jonathan P. How
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - Jeong hwan Jeon
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - Sertac Karaman
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - Brandon Luders
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - Nicholas Roy
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - Stefanie Tellex
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
, - Seth Teller
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts,
Journal of Field Robotics, Volume 32, Issue 4•June 2015, pp 590-628 • https://doi.org/10.1002/rob.21539One long-standing challenge in robotics is the realization of mobile autonomous robots able to operate safely in human workplaces, and be accepted by the human occupants. We describe the development of a multiton robotic forklift intended to operate ...
- 3Citation
MetricsTotal Citations3
- Matthew R. Walter
- article
An Architecture for Online Affordance-based Perception and Whole-body Planning
- Maurice Fallon
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Scott Kuindersma
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Sisir Karumanchi
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Matthew Antone
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Toby Schneider
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Hongkai Dai
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Claudia Pérez D'Arpino
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Robin Deits
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Matt DiCicco
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Dehann Fourie
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Twan Koolen
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Pat Marion
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Michael Posa
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Andrés Valenzuela
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Kuan-Ting Yu
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Julie Shah
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Karl Iagnemma
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Russ Tedrake
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
, - Seth Teller
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts
Journal of Field Robotics, Volume 32, Issue 2•March 2015, pp 229-254 • https://doi.org/10.1002/rob.21546The DARPA Robotics Challenge Trials held in December 2013 provided a landmark demonstration of dexterous mobile robots executing a variety of tasks aided by a remote human operator using only data from the robot's sensor suite transmitted over a ...
- 36Citation
MetricsTotal Citations36
- Maurice Fallon
- research-article
A framework for learning semantic maps from grounded natural language descriptions
- Matthew R. Walter
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
, - Sachithra Hemachandra
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
, - Bianca Homberg
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
, - Stefanie Tellex
Department of Computer Science, Brown University, Providence, RI, USA
, - Seth Teller
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
International Journal of Robotics Research, Volume 33, Issue 9•August 2014, pp 1167-1190 • https://doi.org/10.1177/0278364914537359This paper describes a framework that enables robots to efficiently learn human-centric models of their environment from natural language descriptions. Typical semantic mapping approaches are limited to augmenting metric maps with higher-level ...
- 8Citation
MetricsTotal Citations8
- Matthew R. Walter
- research-article
One-shot visual appearance learning for mobile manipulation
- Matthew R Walter
MIT CS & AI Lab (CSAIL), Cambridge, MA, USA
, - Yuli Friedman
BAE Systems, Burlington, MA, USA
, - Matthew Antone
BAE Systems, Burlington, MA, USA
, - Seth Teller
MIT CS & AI Lab (CSAIL), Cambridge, MA, USA
International Journal of Robotics Research, Volume 31, Issue 4•April 2012, pp 554-567 • https://doi.org/10.1177/0278364911435515We describe a vision-based algorithm that enables a robot to robustly detect specific objects in a scene following an initial segmentation hint from a human user. The novelty lies in the ability to 'reacquire' objects over extended spatial and temporal ...
- 1Citation
MetricsTotal Citations1
- Matthew R Walter
- research-article
Approaching the Symbol Grounding Problem with Probabilistic Graphical Models
- Stefanie Tellex,
- Thomas Kollar,
- Steven Dickerson,
- Matthew R. Walter,
- Ashis Gopal Banerjee,
- Seth Teller,
- Nicholas Roy
In order for robots to engage in dialogue with human teammates, they must have the ability to identify correspondences between elements of language and aspects of the external world. A solution to this symbol‐grounding problem (Harnad, 1990) would enable ...
- 5Citation
MetricsTotal Citations5
- article
Probabilistic lane estimation for autonomous driving using basis curves
- Albert S. Huang
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA
, - Seth Teller
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA
Autonomous Robots, Volume 31, Issue 2-3•October 2011, pp 269-283 • https://doi.org/10.1007/s10514-011-9251-2Lane estimation for autonomous driving can be formulated as a curve estimation problem, where local sensor data provides partial and noisy observations of spatial curves forming lane boundaries. The number of lanes to estimate are initially unknown and ...
- 4Citation
MetricsTotal Citations4
- Albert S. Huang
- Article
Understanding natural language commands for robotic navigation and mobile manipulation
- Stefanie Tellex
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
, - Thomas Kollar
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
, - Steven Dickerson
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
, - Matthew R. Walter
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
, - Ashis Gopal Banerjee
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
, - Seth Teller
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
, - Nicholas Roy
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
AAAI'11: Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence•August 2011, pp 1507-1514This paper describes a new model for understanding natural language commands given to autonomous systems that perform navigation and mobile manipulation in semi-structured environments. Previous approaches have used models with fixed structure to infer ...
- 50Citation
MetricsTotal Citations50
- Stefanie Tellex
- article
A High-rate, Heterogeneous Data Set From The DARPA Urban Challenge
- Albert S. Huang
MIT CSAIL, Cambridge, MA USA
, - Matthew Antone
BAE Systems, Burlington, MA USA
, - Edwin Olson
University of Michigan, Ann Arbor, MI, USA
, - Luke Fletcher
MIT CSAIL, Cambridge, MA USA
, - David Moore
MIT CSAIL, Cambridge, MA USA
, - Seth Teller
MIT CSAIL, Cambridge, MA USA
, - John Leonard
MIT CSAIL, Cambridge, MA USA
International Journal of Robotics Research, Volume 29, Issue 13•November 2010, pp 1595-1601 • https://doi.org/10.1177/0278364910384295This paper describes a data set collected by MITâ s autonomous vehicle Talos during the 2007 DARPA Urban Challenge. Data from a high-precision navigation system, five cameras, 12 SICK planar laser range scanners, and a Velodyne high-density laser ...
- 15Citation
MetricsTotal Citations15
- Albert S. Huang
- research-articlePublished By ACMPublished By ACM
Collaborative future event recommendation
- Einat Minkov
University of Haifa, Haifa, Israel
, - Ben Charrow
University of Pennsylvania, Philadelphia, PA, USA
, - Jonathan Ledlie
Nokia Research, Cambridge, MA, USA
, - Seth Teller
Massachusettes Institute of Technology, Cambridge, MA, USA
, - Tommi Jaakkola
Massachusettes Institute of Technology, Cambridge, MA, USA
CIKM '10: Proceedings of the 19th ACM international conference on Information and knowledge management•October 2010, pp 819-828• https://doi.org/10.1145/1871437.1871542We demonstrate a method for collaborative ranking of future events. Previous work on recommender systems typically relies on feedback on a particular item, such as a movie, and generalizes this to other items or other people. In contrast, we examine a ...
- 69Citation
- 838
- Downloads
MetricsTotal Citations69Total Downloads838Last 12 Months10Last 6 weeks1
- Einat Minkov
- research-articlePublished By ACMPublished By ACM
Growing an organic indoor location system
- Jun-geun Park
MIT CSAIL, Cambridge, MA, USA
, - Ben Charrow
MIT CSAIL, Cambridge, MA, USA
, - Dorothy Curtis
MIT CSAIL, Cambridge, MA, USA
, - Jonathan Battat
MIT CSAIL, Cambridge, MA, USA
, - Einat Minkov
Nokia Research, Cambridge, MA, USA
, - Jamey Hicks
Nokia Research, Cambridge, MA, USA
, - Seth Teller
MIT CSAIL, Cambridge, MA, USA
, - Jonathan Ledlie
Nokia Research, Cambridge, MA, USA
MobiSys '10: Proceedings of the 8th international conference on Mobile systems, applications, and services•June 2010, pp 271-284• https://doi.org/10.1145/1814433.1814461Most current methods for 802.11-based indoor localization depend on surveys conducted by experts or skilled technicians. Some recent systems have incorporated surveying by users. Structuring localization systems "organically," however, introduces its ...
- 260Citation
- 1,504
- Downloads
MetricsTotal Citations260Total Downloads1,504Last 12 Months21Last 6 weeks4
- Jun-geun Park
- research-article
Multimodal interaction with an autonomous forklift
- Andrew Correa
Massachusetts Institute of Technology, Cambridge, MA, USA
, - Matthew R. Walter
Massachusetts Institute of Technology, Cambridge, MA, USA
, - Luke Fletcher
Massachusetts Institute of Technology, Cambridge, MA, USA
, - Jim Glass
Massachusetts Institute of Technology, Cambridge, MA, USA
, - Seth Teller
Massachusetts Institute of Technology, Cambridge, MA, USA
, - Randall Davis
Massachusetts Institute of Technology, Cambridge, MA, USA
HRI '10: Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction•March 2010, pp 243-250We describe a multimodal framework for interacting with an autonomous robotic forklift. A key element enabling effective interaction is a wireless, handheld tablet with which a human supervisor can command the forklift using speech and sketch. Most ...
- 2Citation
- 416
- Downloads
MetricsTotal Citations2Total Downloads416Last 12 Months7
- Andrew Correa
- Article
Lane boundary and curb estimation with lateral uncertainties
- Albert S. Huang
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
, - Seth Teller
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
IROS'09: Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems•October 2009, pp 1729-1734This paper describes an algorithm for estimating lane boundaries and curbs from a moving vehicle using noisy observations and a probabilistic model of curvature. The primary contribution of this paper is a curve model we call lateral uncertainty, which ...
- 0Citation
MetricsTotal Citations0
- Albert S. Huang
- Article
Simultaneous local and global state estimation for robotic navigation
- David C. Moore
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
, - Albert S. Huang
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
, - Matthew Walter
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
, - Edwin Olson
University of Michigan, Ann Arbor, MI
, - Luke Fletcher
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
, - John Leonard
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
, - Seth Teller
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
ICRA'09: Proceedings of the 2009 IEEE international conference on Robotics and Automation•May 2009, pp 3683-3688Recent applications of robotics often demand two types of spatial awareness: 1) A fine-grained description of the robot's immediate surroundings for obstacle avoidance and planning, and 2) Knowledge of the robot's position in a large-scale global ...
- 2Citation
MetricsTotal Citations2
- David C. Moore
- article
Finding multiple lanes in urban road networks with vision and lidar
- Albert S. Huang
Massachusetts Institute of Technology, Cambridge, USA
, - David Moore
Massachusetts Institute of Technology, Cambridge, USA
, - Matthew Antone
Massachusetts Institute of Technology, Cambridge, USA
, - Edwin Olson
Massachusetts Institute of Technology, Cambridge, USA
, - Seth Teller
Massachusetts Institute of Technology, Cambridge, USA
Autonomous Robots, Volume 26, Issue 2-3•April 2009, pp 103-122 • https://doi.org/10.1007/s10514-009-9113-3This paper describes a system for detecting and estimating the properties of multiple travel lanes in an urban road network from calibrated video imagery and laser range data acquired by a moving vehicle. The system operates in real-time in several ...
- 23Citation
MetricsTotal Citations23
- Albert S. Huang
- article
The MIT–Cornell collision and why it happened
- Luke Fletcher
Massachusetts Institute of Technology Cambridge, Massachusetts 02139
, - Seth Teller
Massachusetts Institute of Technology Cambridge, Massachusetts 02139
, - Edwin Olson
Massachusetts Institute of Technology Cambridge, Massachusetts 02139
, - David Moore
Massachusetts Institute of Technology Cambridge, Massachusetts 02139
, - Yoshiaki Kuwata
Massachusetts Institute of Technology Cambridge, Massachusetts 02139
, - Jonathan How
Massachusetts Institute of Technology Cambridge, Massachusetts 02139
, - John Leonard
Massachusetts Institute of Technology Cambridge, Massachusetts 02139
, - Isaac Miller
Cornell University Ithaca, New York 14853
, - Mark Campbell
Cornell University Ithaca, New York 14853
, - Dan Huttenlocher
Cornell University Ithaca, New York 14853
, - Aaron Nathan
Cornell University Ithaca, New York 14853
, - Frank-Robert Kline
Cornell University Ithaca, New York 14853
Midway through the 2007 DARPA Urban Challenge, MIT's robot “Talos” and Team Cornell's robot “Skynet” collided in a low-speed accident. This accident was one of the first collisions between full-sized autonomous road vehicles. Fortunately, both vehicles ...
- 15Citation
MetricsTotal Citations15
- Luke Fletcher
- article
A perception-driven autonomous urban vehicle
- John Leonard
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Jonathan How
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Seth Teller
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Mitch Berger
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Stefan Campbell
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Gaston Fiore
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Luke Fletcher
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Emilio Frazzoli
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Albert Huang
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Sertac Karaman
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Olivier Koch
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Yoshiaki Kuwata
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - David Moore
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Edwin Olson
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Steve Peters
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Justin Teo
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Robert Truax
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - Matthew Walter
Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
, - David Barrett
Franklin W. Olin College, Needham, Massachusetts 02492
, - Alexander Epstein
Franklin W. Olin College, Needham, Massachusetts 02492
, - Keoni Maheloni
Franklin W. Olin College, Needham, Massachusetts 02492
, - Katy Moyer
Franklin W. Olin College, Needham, Massachusetts 02492
, - Troy Jones
Draper Laboratory, Cambridge, Massachusetts 02139
, - Ryan Buckley
Draper Laboratory, Cambridge, Massachusetts 02139
, - Matthew Antone
BAE Systems Advanced Information Technologies, Burlington, Massachusetts 01803
, - Robert Galejs
MIT Lincoln Laboratory, Lexington, Massachusetts 02420
, - Siddhartha Krishnamurthy
MIT Lincoln Laboratory, Lexington, Massachusetts 02420
, - Jonathan Williams
MIT Lincoln Laboratory, Lexington, Massachusetts 02420
This paper describes the architecture and implementation of an autonomous passenger vehicle designed to navigate using locally perceived information in preference to potentially inaccurate or incomplete map data. The vehicle architecture was designed to ...
- 51Citation
MetricsTotal Citations51
- John Leonard
- article
Particle Video: Long-Range Motion Estimation Using Point Trajectories
- Peter Sand
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA 02139
, - Seth Teller
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA 02139
International Journal of Computer Vision, Volume 80, Issue 1•October 2008, pp 72-91 • https://doi.org/10.1007/s11263-008-0136-6This paper describes a new approach to motion estimation in video. We represent video motion using a set of particles. Each particle is an image point sample with a long-duration trajectory and other properties. To optimize particle trajectories we ...
- 50Citation
MetricsTotal Citations50
- Peter Sand
- Article
Moving-Baseline Localization
IPSN '08: Proceedings of the 7th international conference on Information processing in sensor networks•April 2008, pp 15-26• https://doi.org/10.1109/IPSN.2008.65The moving-baseline localization (MBL) problem arises when a group of nodes moves through an environment in which no external coordinate reference is available. When group members cannot see or hear one another directly, each node must employ local ...
- 3Citation
- 277
- Downloads
MetricsTotal Citations3Total Downloads277Last 12 Months1
- article
Special issue: omnidirectional vision and camera networks
- Peter Sturm
Montbonnot/Grenoble, France
, - Tomas Svoboda
Prague, Czech Republic
, - Seth Teller
Cambridge
Computer Vision and Image Understanding, Volume 103, Issue 3•September 2006, pp 155-155 • https://doi.org/10.1016/j.cviu.2006.08.001- 0Citation
MetricsTotal Citations0
- Peter Sturm
- Article
Particle Video: Long-Range Motion Estimation using Point Trajectories
- Peter Sand
MIT
, - Seth Teller
MIT
CVPR '06: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2•June 2006, pp 2195-2202• https://doi.org/10.1109/CVPR.2006.219This paper describes a new approach to motion estimation in video. We represent video motion using a set of particles. Each particle is an image point sample with a longduration trajectory and other properties. To optimize these particles, we measure ...
- 29Citation
MetricsTotal Citations29
- Peter Sand
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- Description: The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM bibliographic database, the Guide. Coverage of ACM publications is comprehensive from the 1950's. Coverage of other publishers generally starts in the mid 1980's. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community.
Please see the following 2007 Turing Award winners' profiles as examples: - History: Disambiguation of author names is of course required for precise identification of all the works, and only those works, by a unique individual. Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics. For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics. The Author Profile Pages reveal the first result of these efforts.
- Normalization: ACM uses normalization algorithms to weigh several types of evidence for merging and splitting names.
These include:- co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common. If so, this weighs towards the two names being the same person.
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The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Many bibliographic records have only author initials. Many names lack affiliations. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges.
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- Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
- Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
- Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)
ACM Author-Izer Service
Summary Description
ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.
Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.
ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.
To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.
How ACM Author-Izer Works
Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.
The Service can be applied to all the articles you have ever published with ACM.
Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.
For authors who do not have a free ACM Web Account:
- Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.
For authors who have an ACM web account, but have not edited their ACM Author Profile page:
- Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.
For authors who have an account and have already edited their Profile Page:
- Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"
ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.
Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.
FAQ
- Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner