Papers
7
Total Citations
150
H-Index
5
About
Shijie Xu is a robotics and control systems researcher whose work centers on space robotics, adaptive control, and structural health monitoring. His most significant contributions lie in the dynamics modeling and control of free-flying space robots, where he has pioneered novel approaches using control moment gyroscopes (CMGs) as joint actuators — a design concept that has reshaped thinking around spacecraft manipulation systems. His 2017 study on maneuver control and active vibration suppression of flexible space robots, which has garnered 48 citations, demonstrates his ability to address complex multibody dynamics using the Kane method while simultaneously solving practical engineering challenges. His 2014 work on dual-arm space robots with closed-loop constraints and uncertain inertial parameters (41 citations) further established his reputation in adaptive control for uncertain dynamic systems. Xu has also contributed to path planning, decentralized sliding mode control, and more recently, AI-driven structural monitoring, with a 2023 deep learning paper applying CBAM-enhanced lightweight ResNet for bolt-ball joint looseness detection in space structures. His expanding research portfolio, bridging classical control theory with modern machine learning, reflects a versatile and forward-thinking researcher whose work holds clear relevance for next-generation space systems and intelligent infrastructure monitoring.
Research Focus
Key Achievements
Top Papers
- 1Maneuver and Active Vibration Suppression of Free-flying Space Robot48 citations · 2017
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