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Often, when modeling human decision-making behaviors in the context ofhuman-robot teaming, the emotion aspect of human is ignored. Nevertheless, theinfluence of emotion, in some cases, is not only undeniable but beneficial.This work studies the human-like characteristics brought by regret emotion inone-human-multi-robot teaming for the application of domain search. In suchapplication, the task management load is outsourced to the robots to reduce thehuman's workload, freeing the human to do more important work. The regretdecision model is first used by each robot for deciding whether to requesthuman service, then is extended for optimally queuing the requests frommultiple robots. For the movement of the robots in the domain search, wedesigned a path planning algorithm based on dynamic programming for each robot.The simulation shows that the human-like characteristics, namely, risk-seekingand risk-aversion, indeed bring some appealing effects for balancing theworkload and performance in the human-multi-robot team.

Respect Your Emotion: Human-Multi-Robot Teaming based on Regret Decision Model