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About

Omar Mechali is a robotics researcher whose work focuses on the control, planning, and coordination of autonomous systems, from wearable devices to aerial and ground robots. His research spans three key areas: multi-robot systems, trajectory planning, and robust control. In his highly cited work on multi-UAV collaborative searching, he proposed a novel three-dimensional `8'-shape trajectory model combined with a genetic algorithm to minimize target search time. For wheeled mobile robots, he developed a formation control strategy using a modified artificial potential field and improved PSO algorithm for safe, leader-follower navigation. His contributions to robust control include a bounded robust finite-time homogeneous sliding mode controller for quadrotors, specifically designed for search and rescue operations. With over 30 citations across his top papers, Mechali's work demonstrates a strong emphasis on practical, real-world applications—from planetary rover path planning using an improved A* algorithm to wearable ankle robotic devices. His research provides a roadmap for deploying autonomous systems in critical scenarios, making him a notable figure in the field of robotics and control systems.