ティーチングとQ学習を併用した知的車椅子の自律走行

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  • Autonomous Rolling Method of Intelligent Wheel Chair Using the Teaching and Q-learning

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In this paper, we propose an autonomous rolling method of intelligent wheel chair (IWC) using the teaching and Q-learning. In the proposed method, first, IWC learns a run path. Next, IWC corrects a position gap around the teaching point by using Q-learning. When detection of the teaching point goes wrong by the noise to motors, IWC cannot reach to the destination. The proposed method is applied to the task which runs a passage, and the simulation results show that IWC repeats a cutback and corrects a position gap. Furthermore, the simulation results show that IWC corrects a position gap more certainly by using the data learned in the environment with the noise to motors.

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