Neuro-Fuzzy Combination for Reactive Mobile Robot Navigation: A Survey

Brahim Hilali (Department of Computer Science, Faculty of Sciences and Technics of Mohammedia, Hassan II University Casablanca)
Mohammed Ramdani (Department of Computer Science, Faculty of Sciences and Technics of Mohammedia, Hassan II University Casablanca)
Abdelwahab Naji (Department of Electronics, Computer Science and Telecommunications, National School of Applied Sciences of Oujda, Mohammed I University)

Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Vol 11, No 2: June 2023

Autonomous navigation of mobile robots is a fruitful research area because of the diversity of methods adopted by artificial intelligence. Recently, several works have generally surveyed the methods adopted to solve the path-planning problem of mobile robots. But in this paper, we focus on methods that combine neuro-fuzzy techniques to solve the reactive navigation problem of mobile robots in a previously unknown environment. Based on information sensed locally by an onboard system, these methods aim to design controllers capable of leading a robot to a target and avoiding obstacles encountered in a workspace. Thus, this study explores the neuro-fuzzy methods that have shown their effectiveness in reactive mobile robot navigation to analyze their architectures and discuss the algorithms and metaheuristics adopted in the learning phase.