Robot Behavior Coordination Inspired by Decision-Making
Neurophysiological Mechanism
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Graphical Abstract
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Abstract
Behavior coordination is important to the design of behaviorbased robot. Inspired by neurophysiological mechanism of decisionmaking, the relative probability of behaviors is expressed by likelihood ratio, which accumulates information coming from both a variety of sensors and different times. Then, the robot′s behavior is chosen according to the sequence of behaviors′ relative probability. The simulation of pushing stick shows the validity of the proposed method.
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