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Teams for teams performance in multi-human/multi-robot teams

Lee, PJ and Wang, H and Chien, SY and Lewis, M and Scerri, P and Velagapudi, P and Sycara, K and Kane, B (2010) Teams for teams performance in multi-human/multi-robot teams. In: UNSPECIFIED.

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The present study addresses the interaction between automation and organization of human teams in controlling large robot teams performing an Urban Search and Rescue (USAR) task. We identify three subtasks: perceptual - visual search for victims, assistance - teleoperation to assist robot, and navigation - path planning and coordination. For the studies reported, navigation was selected for automation because it involves weak dependencies among robots making it more complex and because it was shown in an earlier experiment to be the most difficult. Two possible ways to organize operators were identified as assignment of robots to particular operators or as a shared pool in which operators service robots from the population as needed. The experiment compares two member teams of operators controlling teams of 12 robots each, in the assigned robots conditions or sharing control of 24 robots in the shared pool conditions using either waypoint control or autonomous path planning. Automating path planning improved system performance. Effects of team organization were equivocal. Copyright 2010 by Human Factors and Ergonomics Society, Inc. All rights reserved.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
CreatorsEmailPitt UsernameORCID
Lee, PJ
Wang, H
Chien, SY
Lewis, M
Scerri, P
Velagapudi, P
Sycara, K
Kane, B
Date: 1 December 2010
Date Type: Publication
Journal or Publication Title: Proceedings of the Human Factors and Ergonomics Society
Volume: 1
Page Range: 438 - 442
Event Type: Conference
DOI or Unique Handle: 10.1518/107118110x12829369202394
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781617820885
ISSN: 1071-1813
Date Deposited: 28 Jun 2011 13:44
Last Modified: 02 Feb 2019 16:58


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