Papers

6

Total Citations

117

H-Index

4

About

Minghe Shan is a leading researcher in space robotics and on-orbit servicing, with a focus on developing intelligent control systems for autonomous space operations. His work addresses critical challenges in space debris mitigation and satellite maintenance, combining robust control theory with adaptive algorithms. Shan's most influential contribution is his optimized adaptive variable structure control method for space robots, which has garnered 44 citations and provides a foundation for reliable robotic manipulation in the unpredictable space environment. He has further advanced the field through dual-arm space robot control for post-capture target manipulation (30 citations) and force control strategies for on-orbit servicing (30 citations), enabling precise interactions with uncooperative objects. Beyond traditional robotics, Shan explores novel approaches to fluid-structure interactions using hybrid IB-LBM and ANCF methods, as well as hierarchical planning frameworks for self-assembling modular space robots. His research on net deployment dynamics for capturing space debris directly addresses the pressing threat posed by over 17,500 cataloged debris objects larger than 10 cm. Through these contributions, Shan is helping to build the autonomous robotic infrastructure necessary for sustainable space operations and debris remediation.

Research Focus

Key Achievements

4
H-Index
6
Papers
117
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Robust control of a space robot based on an optimized adaptive variable structure control method
44 citations · 2021
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Beijing Institute of Technology, Oceaneering International (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago