ABSTRACT
Human control of multiple robots has been characterized by the average demand of single robots on human attention. While this matches situations in which independent robots are controlled sequentially it does not capture aspects of demand associated with coordinating dependent actions among robots. This paper presents an extension of Crandall's neglect tolerance model intended to accommodate both coordination demands (CD) and heterogeneity among robots. The reported experiment attempts to manipulate coordination demand by varying the proximity needed to perform a joint task in two conditions and by automating coordination within subteams in a third. Team performance and the process measure CD were assessed for each condition. Automating cooperation reduced CD and improved performance. We discuss the utility of process measures such as CD to analyze and improve control performance.
- Balakirsky, S., Carpin, S., Kleiner, A., Lewis, M., Visser, A., Wang, J., and Zipara, V. Toward hetereogeneous robot teams for disaster mitigation: Results and performance metrics from RoboCup Rescue, Journal of Field Robotics, 2007, in press. Google ScholarDigital Library
- Crandall, J., Goodrich, M., Olsen, D. and Nielsen, C. Validating human-robot interaction schemes in multitasking environments. IEEE Transactions on Systems, Man, and Cybernetics, Part A, 35(4):438--449, 2005. Google ScholarDigital Library
- Crandall, J. and Cummings. M. Developing performance metrics for the supervisory control of multiple robots, Proceedings of the 2007 ACM/IEEE Conference on Human-Robot Interaction (HRI'07), 33--40, 2007. Google ScholarDigital Library
- Gerkey, B. and Mataric, M. A formal framework for the study of task allocation in multi-robot systems. International Journal of Robotics Research, 23(9):939--954, 2004.Google ScholarCross Ref
- Lewis, M., J. Wang, and S. Hughes, USARSim: Simulation for the Study of Human-Robot Interaction. Journal of Cognitive Engineering and Decision Making, 2007. 1(1): p. 98--120.Google ScholarCross Ref
- Murphy, R.R. and J.L. Burke, Up from the Rubble: Lessons Learned about HRI from Search and Rescue, in Proceedings of the 49th Annual Meetings of the Human Factors and Ergonomics Society. 2005: Orlando.Google Scholar
- Nielsen, C., Goodrich, M., and Crandall, J. Experiments in human-robot teams. In Proceedings of the 2002 NRL Workshop on Multi-Robot Systems, October 2003Google Scholar
- Parasuraman, R., Galster, S., Squire, P., Furukawa, H. and Miller, C. A flexible delegation-type interface enhances system performance in human supervision of multiple robots: Empirical studies with roboflag. IEEE Systems, Man and Cybernetics-Part A, 35(4):481--493, July 2005 Google ScholarDigital Library
- Scerri, P., et al., Coordinating large groups of wide area search munitions, in Recent Developments in Cooperative Control and Optimization, D. Grundel, R. Murphey, and P. Pandalos, Editors. 2004, Singapore: World Scientific. p. 451--480.Google Scholar
- Steinfeld, A., Fong, T., Kaber, D., Lewis, M., Scholtz, J., Schultz, A. and Goodrich, M. (2006). Common Metrics for Human-Robot Interaction, 2006 Human-Robot Interaction Conference, ACM, March, 2006. Google ScholarDigital Library
- Trouvain, B. and Wolf, H. 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.Google ScholarCross Ref
- Wang, J. and Lewis, M. Human control of cooperating robot teams, 2007 Human-Robot Interaction Conference, ACM, 2007a. Google ScholarDigital Library
- Wang, J. and Lewis, M. Assessing coordination overhead in control of robot teams, Proceedings of the 2007 International Conference on Systems, Man, and Cybernetics, 2007b, in press.Google Scholar
Index Terms
- Assessing cooperation in human control of heterogeneous robots
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