Article

Human control for cooperating robot teams

Authors:

Michael LewisAuthors Info & Claims

HRI '07: Proceedings of the ACM/IEEE international conference on Human-robot interaction

Pages 9 - 16

https://doi.org/10.1145/1228716.1228719

Published: 10 March 2007 Publication History

Abstract

Human control of multiple robots has been characterized by the average demand of single robots on human attention or the distribution of demands from multiple robots. When robots are allowed to cooperate autonomously, however, demands on the operator should be reduced by the amount previously required to coordinate their actions. The present experiment compares control of small robot teams in which cooperating robots explored autonomously, were controlled independently by an operator or through mixed initiative as a cooperating team. Mixed initiative teams found more victims and searched wider areas than either fully autonomous or manually controlled teams. Operators who switched attention between robots more frequently were found to perform better in both manual and mixed initiative conditions.

References

[1]

D. Bruemmer, D. Few, R. Boring, J. Marble, M. Walton, and C. Nielsen. Shared understanding for collaborative control. IEEE Transactions on Systems, Man, and Cybernetics: A, 35(4):494--504, July 2005.

Digital Library

[2]

S. Carpin, T. Stoyanov, Y. Nevatia, M. Lewis, and J. Wang. Quantitative assessments of usarsim accuracy. In Proceedings of PerMIS 2006, August 2006.

[3]

S. Carpin, J. Wang, M. Lewis, A. Birk, and A. Jacoff. High fidelity tools for rescue robotics: Results and perspectives. In Robocup 2005: Robot Soccer World Cup IX, pages 301--311, July 2005.

Digital Library

[4]

J. W. Crandall, M. A. Goodrich, D. R. Olsen, and C. W. Nielsen. Validating human-robot interaction schemes in multitasking environments. IEEE Transactions on Systems, Man, and Cybernetics, Part A, 35(4):438--449, 2005.

Digital Library

[5]

T. W. Fong, C. Thorpe, and C. Baur. Advanced interfaces for vehicle teleoperation: Collaborative control, sensor fusion displays, and remote driving tools. Autonomous Robots, 11(1):77--85, July 2001.

Digital Library

[6]

B. Gerkey and M. Mataric. A formal framework for the study of task allocation in multi-robot systems. International Journal of Robotics Research, 23(9):939--954, 2004.

[7]

M. Goodrich, M. Quigley, and K. Cosenzo. Switching and multi-robot teams. In Proceedings of the Third International Multi-Robot Systems Workshop, March 2005.

[8]

A. Jacoff, E. Messina, and J. Evans. Experiences in deploying test arenas for autonomous mobile robots. In Proceedings of the 2001 Performance Metrics for Intelligent Systems (PerMIS) Workshop, Mexico City, Mexico, September 2001.

[9]

A. Kirlik. Modeling strategic behavior in human automation interaction: Why an 'aid' can (and should) go unused. Human Factors, 35:221--242, 1993.

[10]

J. Marble, D. Bruemmer, and D. Few. Lessons learned from usability tests with a collaborative cognitive workspace for human-robot teams. In IEEE International Conference on Systems, Man and Cybernetics, pages 448--453, October 2003.

[11]

J. Marble, D. Bruemmer, D. Few, and D. Dudenhoeffer. Evaluation of supervisory vs. peer-peer interaction with human-robot teams. In Proceedings of the 37th Annual Hawaii International Conference on System Sciences, January 2004.

Digital Library

[12]

N. Meiran, Z. Chorev, and A. Sapir. Component processes in task switching. Cognitive Psychology, 41(4):211--253, 2000.

[13]

J. Nickerson and S. Steven. Attention and communication: Decision scenarios for teleoperating robots. In Proceedings of the 38th Annual Hawaii International Conference on System Sciences, January 2005.

Digital Library

[14]

C. Nielsen and M. Goodrich. Comparing the usefulness of video and map information in navigation tasks. In Proceedings of the 2006 Human-Robot Interaction Conference, Salt Lake City, Utah, March 2006.

Digital Library

[15]

C. Nielsen, M. Goodrich, and J. Crandall. Experiments in human-robot teams. In Proceedings of the 2002 NRL Workshop on Multi-Robot Systems, October 2003.

[16]

D. R. Olsen and S. Wood. Fan-out: Measuring human control of multiple robots. In Proceedings of the 2004 Conference on Human Factors in Computing Systems (CHI 2004), pages 231--238, 2004.

Digital Library

[17]

R. Parasuraman, S. Galster, P. Squire, H. Furukawa, and C. Miller. A exible delegation-type interface enhances system performance in human supervision of multiple robots: Empirical studies with roboflag. IEEE Systems, Man and Cybernetics-Part A, Special Issue on Human-Robot Interactions, 35(4):481--493, July 2005.

Digital Library

[18]

P. Scerri, D. Pynadath, L. Johnson, P. Rosenbloom, M. Si, N. Schurr, and M. Tambe. A prototype infrastructure for distributed robot-agent-person teams. In International Conference on Autonomous Agents, pages 433--440, Melbourne, Australia, 2003.

Digital Library

[19]

N. Schurr, J. Marecki, M. Tambe, P. Scerri, N. Kasinadhuni, and J. Lewis. The future of disaster response: Humans working with multiagent teams using defacto. In AAAI Spring Symposium on AI Technologies for Homeland Security, 2005.

[20]

P. Squire, G. Trafton, and R. Parasuraman. Human control of multiple unmanned vehicles: effects of interface type on execution and task switching times. In Proceedings of the 2006 Human-Robot Interaction Conference, pages 26--32, Salt Lake City, Utah, March 2003.

Digital Library

[21]

B. Trouvain, C. Schlick, and M. Mevert. Comparison of a map- vs. camera-based user interface in a multi-robot navigation task. In Proceedings of the 2003 International Conference on Robotics and Automation, pages 3224--3231, October 2003.

[22]

B. Trouvain and H. L. Wolf. Evaluation of multi-robot control and monitoring performance. In Proceedings of the 2002 IEEE Int. Workshop on Robot and Human Interactive Communication, pages 111--116, September 2002.

[23]

J. Wang, M. Lewis, and J. Gennari. A game engine based simulation of the nist urban search and rescue arenas. In Proceedings of the 2003 Winter Simulation Conference, pages 1039--1045, December 2003.

Digital Library

[24]

J. Wang, M. Lewis, S. Hughes, M. Koes, and S. Carpin. Validating usarsim for use in hri research. In Proceedings of the Human Factors and Ergonomics Society 49th Annual Meeting, pages 457--461, September 2005.

[25]

D. Woods, J. Tittle, M. Feil, and A. Roesler. Envisioning human-robot coordination in future operations. IEEE Transactions on Systems, Man, and Cybernetics: C, 34(2):210--218, May 2004.

Digital Library

Cited By

Reinmund TSalvini PKunze LJirotka MWinfield A(2023)Variable Autonomy through Responsible Robotics: Design Guidelines and Research AgendaACM Transactions on Human-Robot Interaction10.1145/363643213:1(1-36)Online publication date: 7-Dec-2023
https://dl.acm.org/doi/10.1145/3636432
Riley DFrew E(2023)Fielded Human-Robot Interaction for a Heterogeneous Team in the DARPA Subterranean ChallengeACM Transactions on Human-Robot Interaction10.1145/358832512:3(1-24)Online publication date: 23-Jun-2023
https://dl.acm.org/doi/10.1145/3588325
Wang HLiang WShen JVan Gool LWang W(2022)Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52688.2022.01503(15450-15460)Online publication date: Jun-2022
https://doi.org/10.1109/CVPR52688.2022.01503
Show More Cited By

Index Terms

Human control for cooperating robot teams
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Robotics
      1. External interfaces for robotics

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Information

Published In

cover image ACM Conferences

HRI '07: Proceedings of the ACM/IEEE international conference on Human-robot interaction

March 2007

392 pages

ISBN:9781595936172

DOI:10.1145/1228716

General Chairs:
Cynthia Breazeal
Massachusetts Institute of Technology, USA
,
Alan C. Schultz
Naval Research Laboratory, USA
,
Program Chairs:
Terry Fong
NASA Ames Research Center, USA
,
Sara Kiesler
Carnegie Mellon University, USA

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 10 March 2007

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HRI07: International Conference on Human Robot Interaction

March 10 - 12, 2007

Virginia, Arlington, USA

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HRI '07 Paper Acceptance Rate 22 of 101 submissions, 22%;

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

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Cited By

Reinmund TSalvini PKunze LJirotka MWinfield A(2023)Variable Autonomy through Responsible Robotics: Design Guidelines and Research AgendaACM Transactions on Human-Robot Interaction10.1145/363643213:1(1-36)Online publication date: 7-Dec-2023
https://dl.acm.org/doi/10.1145/3636432
Riley DFrew E(2023)Fielded Human-Robot Interaction for a Heterogeneous Team in the DARPA Subterranean ChallengeACM Transactions on Human-Robot Interaction10.1145/358832512:3(1-24)Online publication date: 23-Jun-2023
https://dl.acm.org/doi/10.1145/3588325
Wang HLiang WShen JVan Gool LWang W(2022)Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52688.2022.01503(15450-15460)Online publication date: Jun-2022
https://doi.org/10.1109/CVPR52688.2022.01503
Weiss HLiu AByon ABlossom JStirling L(2021)Comparison of Display Modality and Human-in-the-Loop Presence for On-Orbit Inspection of SpacecraftHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/0018720821104278265:6(1059-1073)Online publication date: 24-Sep-2021
https://doi.org/10.1177/00187208211042782
Kaufmann MSheridan KBeltrame G(2021)Towards Human-in-the-Loop Autonomous Multi-Robot OperationsCompanion Publication of the 2021 International Conference on Multimodal Interaction10.1145/3461615.3486573(341-343)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3461615.3486573
Ma LYe SIJtsma MFeigh KPritchett A(2020)An Experimental Refinement of Computational Models of Human-Robot TeamsAIAA Scitech 2020 Forum10.2514/6.2020-1650Online publication date: 5-Jan-2020
https://doi.org/10.2514/6.2020-1650
Matthews GLin JPanganiban ALong M(2020)Individual Differences in Trust in Autonomous Robots: Implications for TransparencyIEEE Transactions on Human-Machine Systems10.1109/THMS.2019.294759250:3(234-244)Online publication date: Jun-2020
https://doi.org/10.1109/THMS.2019.2947592
Rea DSeo SYoung J(2020)Social Robotics for Nonsocial Teleoperation: Leveraging Social Techniques to Impact Teleoperator Performance and ExperienceCurrent Robotics Reports10.1007/s43154-020-00020-71:4(287-295)Online publication date: 28-Jul-2020
https://doi.org/10.1007/s43154-020-00020-7
Wolf FStock-Homburg R(2020)Human-Robot Teams: A ReviewSocial Robotics10.1007/978-3-030-62056-1_21(246-258)Online publication date: 14-Nov-2020
https://dl.acm.org/doi/10.1007/978-3-030-62056-1_21
Abubshait AWiese E(2019)Effect of brain stimulation on mechanisms of social cognition is modulated by individual preferences for human versus robot agentsProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/107118131963135963:1(858-862)Online publication date: 20-Nov-2019
https://doi.org/10.1177/1071181319631359
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