Intelligent Method for Avoiding Obstacles in Unknown Environment for Swarm Robots Using ANFIS and GWO Technique

Abstract

In this paper, An Intelligent method using ANFIS designed in MATLAB® for path planning of a mobile robot in an unknown environment avoiding static obstacles is proposed. The robots are equipped with a set of three IR sensor to detect obstacles in detection range i.e. left, front and right respectively. Their membership functions are generated depending upon the distance of detection. The effectiveness of the controller is verified in multiple environments having random static obstacles generated in Coppeliasim® Robotics Simulator and this work is extended for swarm robots using GWO algorithm.

Cite as

Abhisek Das, Sourav Parida, & Rati Ranjan Dash. (2022). Intelligent Method for Avoiding Obstacles in Unknown Environment for Swarm Robots Using ANFIS and GWO Technique. Advancement in Mechanical Engineering and Technology, 5(2), 1–14. https://doi.org/10.5281/zenodo.6844392