Xuhui Feng

Papers

Total Citations

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About

Xuhui Feng’s research lies at the intersection of advanced control theory and robotic manipulation, with a particular focus on safe, optimal, and data-efficient operation in human-centered environments. His major contributions include pioneering the use of ellipsoidal tube model predictive control (MPC) for robotic arms handling fragile objects, such as glass plates. By modeling constraints on fiber strains using section modulus and tensile strength, he developed a time-optimal robust control strategy that prevents breakage—a critical advance for manufacturing and domestic robotics. Feng also introduced a novel framework for simultaneous optimal tracking control and experiment design, enabling robots to optimize performance while actively learning system dynamics. This dual-purpose approach is especially relevant for assistive robots, like those mounted in kitchens to aid with cooking tasks. Though early in his career, his work has garnered citations (e.g., 2 citations each for his most-cited papers) and demonstrates a clear trajectory toward impactful, real-world applications. Feng’s research is notable for its rigorous mathematical foundation and its direct relevance to safe human-robot interaction, marking him as a promising voice in the field of robotic control and automation.