基于光流hermite和模糊q -学习的机器人导航方法

2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2021-11-01 DOI:10.1109/ICMEAE55138.2021.00012

E. Moya-Albor, J. Brieva, Hiram Ponce, Sandra L. Gomez-Coronel

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引用次数: 0

摘要

本文提出了一种仿生光流方法用于自主机器人导航。它使用模糊q -学习(FQL)方法，通过强化信号在未知环境中做出决策。利用V-REP软件和通信控制MATLAB在虚拟机器人系统中实现了该方法。初步结果表明，该机器人能够在未知环境中成功导航。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optical Flow-Hermite and Fuzzy Q-Learning Based Robotic Navigation Approach

The present paper presents a bio-inspired optical flow approach to autonomous robotics navigation. It uses a Fuzzy Q-Learning (FQL) method to take decisions in an unknown environment through a reinforcement signal. The proposed method was implemented in a virtual robotics system using the V-REP software and in communication con MATLAB. The preliminary results show that the robot was able to navigate successfully in unknown environments.

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2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)

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