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About

Hamed Haghshenas is a robotics researcher whose work focuses on the time-optimal coordination of multi-robot systems, particularly cooperative manipulators. His core research addresses the fundamental challenge of minimizing task completion time for teams of robots that must physically collaborate—such as multiple arms rigidly grasping and moving a shared object. Haghshenas’s major contribution lies in reformulating this complex, non-convex problem into a convex optimization framework, a breakthrough that guarantees globally optimal solutions with computational efficiency. His most-cited paper, "Time-Optimal Cooperative Path Tracking for Multi-Robot Systems" (2021), has garnered 8 citations, while his 2023 work extends these principles to cooperative manipulators, solidifying his reputation in the field. By providing a rigorous mathematical foundation for cooperative motion planning, Haghshenas’s research enables faster, safer, and more predictable robotic teamwork, with direct applications in manufacturing, assembly, and logistics. His work stands out for its elegant blend of optimization theory and practical robotics, making complex coordination problems tractable for real-world systems.