Abstract
Robotic search and rescue teams of the future will consist of both robots and human operators. Operators are utilized for identifying victims, by means of camera feeds from the robot, and for helping with navigation when autonomy is insufficient. As the size of these robot teams increases, the mental workload on operators increases, and robots find themselves in precarious situations with no assistance for resolution. This paper presents an approach that utilizes multiple levels of autonomy to allow a robot to consider a range of options, including asking for operator assistance, for dealing with problematic situations to maximize efficient use of the operator’s time. Individual robots use self monitoring to determine failures in task progression, a form of local autonomy. Upon this trigger, the robot evaluates decisions to properly route asking for help, consensus autonomy. A Call Center alerts the operator(s) to incoming requests for assistance. This results in a better use of operator time by focusing attention where it is needed. Experiments explore the effectiveness of agents’ decisions, both local and team-level, with multiple simulators. A high fidelity simulator and user interface further evaluate how effective robot information is relayed to the operator, through human trials.
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References
Chaimowicz, L., Kumar, V.: Aerial shepherds: Coordination among uavs and swarms of robots (2004)
Cox, M., Raja, A.: Metareasoning: A manifesto. BBN Technical (2007)
Crandall, J., Goodrich, M., Olsen, D., Nielsen, C.: Validating human-robot interaction schemes in multitasking environments. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans 35(4), 438–449 (2005)
Fong, T., Thorpe, C., Baur, C.: Multi-robot remote driving with collaborative control. IEEE Transactions on Industrial Electronics 50(4), 699–704 (2003)
Macfadzean, R.H., Barber, K.S., Interrante, L., Martin, C.E.: Supporting dynamic adaptive autonomy for agent-based systems (1996)
Murphy, R., Stover, S.: Rescue robots for mudslides: A descriptive study of the 2005 La Conchita mudslide response. Journal of Field Robotics 25 (2008)
Rosenthal, S., Dey, A., Veloso, M.: How Robots Questions Affect the Accuracy of the Human Responses. In: Proc. International Symposium on Robot-Human Interactive Communication, pp. 1137–1142 (2009)
Scerri, P., Liao, E., Lai, J., Sycara, K., Xu, Y., Lewis, M.: Coordinating very large groups of wide area search munitions. Theory and Algorithms for Cooperative Systems (2005)
Schurr, N., Marecki, J., Lewis, J., Tambe, M., Scerri, P.: The defacto system: Training tool for incident commanders. In: Proc of the AAAI, vol. 20 (2005)
Sellner, B., Heger, F., Hiatt, L., Simmons, R., Singh, S.: Coordinated Multiagent Teams and Sliding Autonomy for Large-Scale Assembly. Proc of the IEEE 94(7), 1425–1444 (2006)
Wang, J., Lewis, M.: Human control for cooperating robot teams. In: Proc of the ACM/IEEE international conference on Human-robot interaction, p. 16. ACM, New York (2007)
Wickens, C.D., Lee, J., Liu, Y.D., Gordon-Becker, S.: Introduction to Human Factors Engineering, 2nd edn. Prentice-Hall, Inc., Upper Saddle River (2003)
Yanco, H.A., Keyes, B., Drury, J.L., Nielsen, C.W., Few, D.A., Bruemmer, D.J.: Evolving interface design for robot search tasks: Research articles. J. Field Robot. 24(8-9), 779–799 (2007)
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Kane, B., Velagapudi, P., Scerri, P. (2010). Asking for Help through Adaptable Autonomy in Robotic Search and Rescue. In: Bai, Q., Fukuta, N. (eds) Advances in Practical Multi-Agent Systems. Studies in Computational Intelligence, vol 325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16098-1_21
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DOI: https://doi.org/10.1007/978-3-642-16098-1_21
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