Optical Flow-Hermite and Fuzzy Q-Learning Based Robotic Navigation Approach
Journal
2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)
Date Issued
2021
Author(s)
Gomez-Coronel, Sandra L.
Type
Resource Types::text::conference output::conference proceedings::conference paper
Abstract
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. © 2021 IEEE.