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About

Mohamed Raessa is a robotics researcher focused on advancing human-robot collaboration and autonomous manipulation for real-world manufacturing. His work centers on developing intelligent robotic systems that can work alongside humans in dynamic assembly environments, with a particular emphasis on manipulation planning, tool use, and object reposing. His most impactful contribution is the development of a human-in-the-loop robotic manipulation planner for collaborative assembly (69 citations), which innovatively explores subtask distribution between humans and robots rather than relying on fully autonomous AI systems. This work addresses a critical gap in robotics by enabling flexible, safe human-robot teamwork in factories. Raessa has also pioneered methods for teaching robots to use electric tools through regrasp planning (13 citations), offering a practical approach for rapid factory deployment without complex vision systems. His research on planning to repose long and heavy objects (10 citations) introduces hierarchical motion planners that consider external support surfaces, solving challenging manipulation problems in industrial settings. Through his work on visually guided extrinsic manipulation and collaborative assembly, Raessa is helping shape the next generation of flexible, human-aware robotic systems for manufacturing.