Abstract—Mobile robots are increasingly used in service and industrial activities. For many previous decades, its navigation has always remained an open problem for researchers in the World. The target of this research is to develop a control method for mobile robots operating in dynamic and unknown environments with both static and moving obstacles. The method utilizes a fuzzy logic approach based on a Lidar sensor to gather information about the environment and make decisions for navigation. The study focuses on the use of mobile robots in material handling applications such as warehouses or libraries with flat floors. The results demonstrate the ability of the proposed method to navigate the mobile robot around both static and moving obstacles, enabling its use in various material handling applications. The study provides a potential solution for the open problem of mobile robot navigation in complex environments.

Keywords—fuzzy controller, mobile robot, wheeled robot, path planning, trajectory

Cite: Pham Minh Tuan, Nguyen Duc Tai, Tran Quang Huy, and Nguyen Truong Thinh, "Flexible Path Planning of Mobile Robot for Avoiding the Dynamic Obstacles Using Fuzzy Controllers," International Journal of Mechanical Engineering and Robotics Research, Vol. 13, No. 1, pp. 126-132, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.