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About

Taha Elmokadem is a leading researcher in autonomous robotics, specializing in distributed multi-agent systems, UAV navigation, and safe motion planning for complex environments. His work has significantly advanced the field of precision agriculture, where he proposed a distributed coverage control strategy for quadrotor multi-UAV systems that enables efficient area monitoring while ensuring collision avoidance—a paper that has garnered 72 citations. Elmokadem’s contributions extend to computationally-efficient algorithms for 3D coverage and flocking of autonomous UAV teams, addressing critical barrier and sweep problems with 19 citations. He has also developed innovative reactive navigation strategies for nonholonomic mobile robots in 3D spaces, including a hybrid approach for partially-known dynamic environments, which has been cited 11 times. Notable achievements include his work on real-time deforming path navigation for flying drones and underwater vehicles, as well as distributed control for robotic sensor networks in 3D sensing fields. With a focus on practical, scalable solutions, Elmokadem’s research bridges theory and application, making him a key figure in the development of intelligent, autonomous robotic systems for real-world challenges.