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Many robotic applications feature a mixture of interacting teleoperated and autonomous robots. In several such domains, human operators must make decisions using very limited perceptual information, e.g. by viewing only the noisy camera feed of their robot. There are many interaction scenarios where such restricted visibility impacts teleoperation performance, and where the role of autonomous robots...
Despite recent advances in 3-D motion capture, the problem of simultaneously tracking human posture and position in an unconstrained environment remains open. Optical systems provide both types of information, but are confined to a restricted area of capture. Inertial sensing alleviates this restriction, but at the expense of capturing only relative (postural) and not absolute (positional) information...
Many multi-robot decision problems present autonomous agents with a dual challenge: the accurate egocentric estimation of the state and strategy of their adversaries, in the face of physical limitations and sensory uncertainty. Although these are clearly difficult constraints on the capabilities of an autonomous robot, this is also an opportunity for exploiting the corresponding limitations of the...
Many multi-robot decision problems present autonomous agents with a dual challenge: the accurate egocentric estimation of the state and strategy of their adversaries, in the face of physical limitations and sensory uncertainty. Although these are clearly difficult constraints on the capabilities of an autonomous robot, this is also an opportunity for exploiting the corresponding limitations of the...
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