RoboLeader: an agent for supervisory control of multiple robots

Authors:
Jessie Y.C. Chen;Michael J. Barnes;Zhihua Qu
Affiliations:
US Army Research Laboratory, Aberdeen Proving Ground, MD, USA;US Army Research Laboratory, Aberdeen Proving Ground, MD, USA;University of Central Florida, Orlando, FL, USA
Venue:
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Year:
2010

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Abstract

We developed an intelligent agent, RoboLeader, that could assist human operators in route planning for a team of ground robots. We compared the operators' target detection performance in the 4-robot and 8-robot conditions. Results showed that the participants detected significantly less targets and had significantly worse situation awareness when there were 8 robots compared to the 4-robot condition. Those participants with higher spatial ability detected more targets than did those with lower spatial ability. Participants' self-assessed workload was affected by the number of robots under control, their gender, and their attentional control ability.