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Dual learning for perception and behavior of mobile robots

机译:双重学习移动机器人的感知和行为

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This paper deals with a learning method for perception and behavior of mobile robots. An intelligent robot should acquire its behaviors based on the embodiment of the robot itself. The robot cannot understand the meaning of the perceptual information until acquiring behaviors, in other words, the robot does not know which information in the facing environment is important for the target behavior beforehand. This indicates that the robot should reconfigure the perceptual mechanism after acquiring behaviors. Therefore, this paper proposes a coupled learning mechanism of the perception and the behavior. Furthermore, we discuss a reconfiguring method of the perceptual mechanism to cohere the relationship with the facing environment. We show the effectiveness through computer simulation results.
机译:本文涉及移动机器人的感知和行为的学习方法。智能机器人应根据机器人本身的实施例获取其行为。机器人无法理解感知信息的含义,直到获取行为,换句话说,机器人不知道面对环境中的哪个信息预先对目标行为很重要。这表明机器人应在获取行为后重新配置感知机制。因此,本文提出了一种感知和行为的耦合学习机制。此外,我们讨论了感知机制的重新配置方法,以巩固与面对环境的关系。我们通过计算机仿真结果显示了效力。

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