Max Robotics — Global Service Robot Directory + US Certification

About

Fethi Matoui is a leading researcher in multi-robot systems, with a primary focus on distributed path planning and collision avoidance. His work centers on developing scalable, decentralized architectures for coordinating groups of wheeled mobile robots, addressing fundamental challenges in trajectory planning. Matoui’s most significant contribution is his pioneering approach to the "local minimum" problem in artificial potential field methods—a critical bottleneck in multi-robot navigation. By proposing novel solutions to this spatial-temporal coordination issue, he has enabled more reliable and efficient robot swarm movement. His highly cited 2018 paper on distributed neighborhood artificial potential field planning (47 citations) and his 2019 work on centralized architectures (44 citations) demonstrate the breadth of his impact, exploring both distributed and centralized control paradigms. With over 147 total citations across his key publications, Matoui has established himself as an influential voice in robotics. His research is essential reading for engineers and students working on autonomous multi-agent systems, offering practical frameworks for real-world applications in warehouse automation, search-and-rescue, and collaborative manufacturing.