To study how robots can work better with humans as a team, we have designed an agent-based online testbed that supports virtual simulation of domain-independent human-robot interaction. The simulation is implemented as an online game where humans and virtual robots work together in simulated scenarios. This testbed allows researchers to carry out human-robot interaction studies and gain better understanding of, for example, how a robot’s communication can improve human-robot team performance by fostering better trust relationships among humans and their robot teammates. In this paper, we discuss the requirements, challenges and the design of such human-robot simulation. We illustrate its operation with an example human-robot joint reconnaissance task.
CITATION STYLE
Wang, N., Pynadath, D. V., Unnikrishnan, K. V., Shankar, S., & Merchant, C. (2015). Intelligent agents for virtual simulation of human-robot interaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9179, pp. 228–239). Springer Verlag. https://doi.org/10.1007/978-3-319-21067-4_24
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