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Dual learning for perception and behavior of mobile robots

机译:对移动机器人的感知和行为的双重学习

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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:本文探讨了一种用于移动机器人感知和行为的学习方法。智能机器人应基于机器人本身的实施方式来获取其行为。在获取行为之前,机器人无法理解感知信息的含义,也就是说,机器人事先不知道面对环境中的哪些信息对于目标行为很重要。这表明机器人在获取行为后应重新配置感知机制。因此,本文提出了感知与行为的耦合学习机制。此外,我们讨论了一种感知机制的重构方法,以协调与面对环境的关系。我们通过计算机仿真结果显示了有效性。

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