학술논문

Optical Flow-Hermite and Fuzzy Q-Learning Based Robotic Navigation Approach
Document Type
Conference
Source
2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) ICMEAE Mechatronics, Electronics and Automotive Engineering (ICMEAE), 2021 International Conference on. :26-31 Nov, 2021
Subject
Computing and Processing
Integrated optics
Q-learning
Biomedical optical imaging
Navigation
Vision sensors
Acoustics
Optical sensors
optical flow
Hermite transform
V-REP
fuzzy Q-learning
reinforcement signal
vision-based control navigation
Language
ISSN
2573-3001
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.