Baixuan Wu

Harbin Engineering University, University of Wisconsin–Madison

Papers

Total Citations

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About

Baixuan Wu’s research centers on space robotics, with a particular focus on the critical challenges of obstacle avoidance and path planning for multi-joint manipulators operating in orbital environments. His most cited work, "Obstacle Avoidance and Path Planning for Multi-Joint Manipulator in a Space Robot" (2019, 38 citations), introduces a novel algorithm designed to ensure the safe capture of targets by a manipulator’s end-effector amidst space debris and structural obstacles. This contribution addresses a fundamental safety requirement for autonomous robotic operations in space, where collision risks are high and repair or intervention is impossible. By prioritizing collision-free trajectories, Wu’s algorithm enhances the reliability of robotic arms used for satellite servicing, debris removal, and in-orbit assembly. His earlier work, "Dynamic Assessment of the Trajectory Errors for Robots" (1985), laid foundational groundwork in understanding and quantifying motion inaccuracies, demonstrating a long-standing commitment to precision in robotic control. Wu’s research is essential reading for engineers and researchers developing autonomous systems for extraterrestrial environments, offering practical solutions that directly impact mission safety and success. His contributions continue to influence modern space robotics, where the demand for intelligent, adaptive manipulation systems is growing rapidly.