Wei-min Yun

Shanghai Jiao Tong University, Shanghai Medical Information Center

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About

Wei-min Yun is a pioneering researcher in robotics, control systems, and intelligent automation, with a particular focus on motion planning and educational robotics. His seminal work, "Optimum motion planning in joint space for robots using genetic algorithms" (1996), with 48 citations, introduced a groundbreaking approach to optimizing robot trajectories by applying genetic algorithms to joint-space planning—a contribution that has influenced subsequent generations of robotic path planning and remains a foundational reference in the field. Yun also made notable strides in engineering education through his paper "Innovative control education using a low cost intelligent robot platform" (2003), which addressed the critical challenge of making robotics research accessible by developing an affordable, intelligent robot platform for hands-on learning. This work has helped democratize control education, enabling universities with limited resources to conduct meaningful experiments in robotics and artificial intelligence. Yun’s research bridges theoretical optimization and practical implementation, demonstrating a lasting impact on both robotic motion planning and the pedagogy of intelligent systems.