Jinfeng Chen

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About

Dr. Jinfeng Chen is a pioneering researcher in robotics and intelligent control systems, with a primary focus on multi-robot cooperation and rehabilitation robotics. His foundational work on "Multi-Robot Cooperation Coalition Formation Based on Genetic Algorithm" (2006, 22 citations) addresses a critical challenge in distributed robotics: how to optimally form coalitions of robots to efficiently complete single or multiple tasks. By applying genetic algorithms to maximize coalition value, Chen moved beyond traditional exhaustive methods, offering a scalable solution that has influenced subsequent research in swarm robotics and task allocation. More recently, Chen has advanced the field of medical robotics through his work on "Active interactive genetic control for lower limb rehabilitation robots with uncertainties" (2021). In this study, he tackles the complexities of active rehabilitation training by integrating impedance control with genetic algorithms to ensure compliant force interaction, even in the presence of system uncertainties. This work demonstrates his ability to bridge theoretical control methods with practical, human-centered applications. With a career spanning foundational multi-robot theory to cutting-edge rehabilitation technology, Chen’s contributions continue to inspire researchers in both autonomous systems and assistive robotics.