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Robot Behavior Coordination using Decision-making Neurophysiological Mechanism

机译:基于决策神经生理机制的机器人行为协调

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Behavior coordination is a vital problem for the design of behavior-based robot. Inspired by decision-making neurophysiological mechanism, the relative probability between behaviors is expressed by likelihood ratio, which accumulates information from a variety of sensors to be combined together and over time. Then the robot's behavior is chosen according to the sequence of behaviors' relative probability. The simulation of pushing stick task demonstrates the proposed method.
机译:行为协调是基于行为的机器人设计的关键问题。受决策神经生理机制的启发,行为之间的相对概率由似然比表示,似然比累积了来自各种传感器的信息,并随着时间的流逝而组合在一起。然后根据行为的相对概率顺序选择机器人的行为。仿真的推杆任务证明了该方法的有效性。

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