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Perception by proxy: humans helping robots to see in a manipulation task

Authors:

John Alan Atherton,

Michael A. GoodrichAuthors Info & Claims

HRI '11: Proceedings of the 6th international conference on Human-robot interaction

Pages 109 - 110

https://doi.org/10.1145/1957656.1957685

Published: 06 March 2011 Publication History

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Abstract

Robots excel at planning and performing tasks in controlled environments, but poor perception often leads to poor performance in unstructured environments. One typical way of improving robot performance is to give more control to a human operator and then design user interfaces that build the operator's situation awareness. As an alternative, humans can support robot perception to add structure to unstructured environments. We claim that when humans support robot perception, robots can spend more time acting autonomously, which can lead to reduced operator workload and increased overall performance. We present a design process, called perception by proxy, and apply it to a simple manipulation task.

References

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C. W. Nielsen. Using Augmented Virtuality to Improve Human-Robot Interactions. PhD thesis, Brigham Young University, 2006.

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Cited By

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Rueben MSmart WAdams JSmart WMutlu BTakayama L(2015)A Shared Autonomy Interface for Household DevicesProceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts10.1145/2701973.2702061(165-166)Online publication date: 2-Mar-2015
https://dl.acm.org/doi/10.1145/2701973.2702061
Rueben MSmart W(2015)Shared Autonomy Perception and Manipulation of Physical Device ControlsAdvances in Visual Computing10.1007/978-3-319-27863-6_78(830-841)Online publication date: 18-Dec-2015
https://doi.org/10.1007/978-3-319-27863-6_78
Mishra AMeruvia-Pastor O(2014)Robot arm manipulation using depth-sensing cameras and inverse kinematics2014 Oceans - St. John's10.1109/OCEANS.2014.7003029(1-6)Online publication date: Sep-2014
https://doi.org/10.1109/OCEANS.2014.7003029
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Index Terms

Perception by proxy: humans helping robots to see in a manipulation task
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms

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Information & Contributors

Information

Published In

HRI '11: Proceedings of the 6th international conference on Human-robot interaction

March 2011

526 pages

ISBN:9781450305617

DOI:10.1145/1957656

General Chairs:
Aude Billard
EPFL, Switzerland
,
Peter Kahn
University of Washington, USA
,
Program Chairs:
Julie A. Adams
Vanderbilt University, USA
,
Greg Trafton
US Naval Research Laboratories, USA

In-Cooperation

RA: IEEE Robotics and Automation Society
Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc
The Association for the Advancement of Artificial Intelligence (AAAI)
IEEE Systems, Man and Cybernetics Society

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 March 2011

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HRI'11

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HRI'11: International Conference on Human-Robot Interaction

March 6 - 9, 2011

Lausanne, Switzerland

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Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Cited By

View all

Rueben MSmart WAdams JSmart WMutlu BTakayama L(2015)A Shared Autonomy Interface for Household DevicesProceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts10.1145/2701973.2702061(165-166)Online publication date: 2-Mar-2015
https://dl.acm.org/doi/10.1145/2701973.2702061
Rueben MSmart W(2015)Shared Autonomy Perception and Manipulation of Physical Device ControlsAdvances in Visual Computing10.1007/978-3-319-27863-6_78(830-841)Online publication date: 18-Dec-2015
https://doi.org/10.1007/978-3-319-27863-6_78
Mishra AMeruvia-Pastor O(2014)Robot arm manipulation using depth-sensing cameras and inverse kinematics2014 Oceans - St. John's10.1109/OCEANS.2014.7003029(1-6)Online publication date: Sep-2014
https://doi.org/10.1109/OCEANS.2014.7003029
Fincannon TJentsch FSellers BTalone A(2013)Best Practices in Human Operation of Robotic/Unmanned VehiclesProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/154193121357128157:1(1268-1272)Online publication date: 30-Sep-2013
https://doi.org/10.1177/1541931213571281
Jentsch FFincannon T(2012)Multiple Robot-Multiple Operator Control and Teamwork: Lessons Learned and Design GuidelinesInfotech@Aerospace 201210.2514/6.2012-2459Online publication date: 6-Sep-2012
https://doi.org/10.2514/6.2012-2459
Fincannon TJentsch FSellers BKeebler JYanco HSteinfeld AEvers VJenkins O(2012)Beyond "spatial ability"Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction10.1145/2157689.2157718(127-128)Online publication date: 5-Mar-2012
https://dl.acm.org/doi/10.1145/2157689.2157718

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Recommendations

Providing a Robot with Learning Abilities Improves its Perception by Users

Reactive Reaching and Grasping on a Humanoid

Beyond the Black Box: Human Robot Interaction through Human Robot Performances