Human-Robot Teaming
Collaborative exploration through implicit coordination and helmet-mounted sensing.
We develop interfaces and coordination frameworks that allow humans and robots to collaboratively map environments without explicit commands.
In SSRR 2022, we proposed a methodology that implicitly coordinates exploration goals between a human and an aerial robot. By tracking human viewpoint direction through helmet-mounted depth sensors, the robot biases its exploration frontier toward disjoint regions, maximizing search efficiency.
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