Fuchao Yang

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About

Fuchao Yang is a researcher in aerospace robotics, with a primary focus on trajectory optimization and motion planning for free-floating space manipulators. His work addresses a critical challenge in on-orbit servicing: minimizing the disturbance transmitted to a spacecraft’s base when its robotic arm moves in microgravity. Yang’s most cited paper, “Optimal Trajectory Planning for Minimizing Base Disturbance of a Redundant Space Robot with IQPSO” (2022), introduces an improved quantum-behaved particle swarm optimization algorithm to generate smooth, disturbance-minimizing paths for kinematically redundant systems. This contribution is significant because it directly supports the practical deployment of space robots for tasks like satellite repair and debris removal, where base stability is essential for mission safety. Although early in his career, Yang’s work has already garnered attention within the aerospace control community, accumulating citations that underscore its relevance to ongoing research in autonomous space operations. His approach offers a computationally efficient solution to a long-standing problem, positioning him as a promising voice in the development of intelligent, disturbance-aware motion planning for next-generation space robotics.