@inproceedings{ba63b7da09824a328e8babb62ae384c4,
title = "Optical Flow-Hermite and Fuzzy Q-Learning Based Robotic Navigation Approach",
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.",
keywords = "Hermite transform, V-REP, fuzzy Q-learning, optical flow, reinforcement signal, vision-based control navigation",
author = "Ernesto Moya-Albor and Jorge Brieva and Hiram Ponce and Gomez-Coronel, {Sandra L.}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Mechatronics, Electronics and Automotive Engineering, ICMEAE 2021 ; Conference date: 22-11-2021 Through 26-11-2021",
year = "2021",
doi = "10.1109/ICMEAE55138.2021.00012",
language = "Ingl{\'e}s",
series = "Proceedings - 2021 International Conference on Mechatronics, Electronics and Automotive Engineering, ICMEAE 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "26--31",
booktitle = "Proceedings - 2021 International Conference on Mechatronics, Electronics and Automotive Engineering, ICMEAE 2021",
address = "Estados Unidos",
}