Xingke Mu

China Academy of Launch Vehicle Technology

Papers

1

Total Citations

8

H-Index

1

About

Xingke Mu has made significant contributions to the field of space robotics and autonomous docking systems, with a particular focus on modular space station technologies. His most cited work, "Docking Strategy for a Space Station Container Docking Device Based on Adaptive Sensing" (2019, 8 citations), introduces a pioneering fractional-step docking strategy for orthogonally distributed container docking devices. This research addresses critical challenges in space station modularization by proposing an adaptive sensing approach that enables precise docking while maintaining key characteristics such as miniaturization, extensibility, and peripheral layout flexibility. Mu's work on developing dynamic models for combined space structures has advanced the practical implementation of reconfigurable space habitats. His research demonstrates how adaptive sensing can overcome the inherent difficulties of docking irregularly shaped containers in microgravity environments, offering scalable solutions for future space station expansion and maintenance. By focusing on modular, miniaturized docking mechanisms, Mu's contributions support the growing need for flexible, cost-effective space infrastructure that can be assembled and reconfigured in orbit, making his work particularly relevant for next-generation space station designs and commercial space operations.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Docking Strategy for a Space Station Container Docking Device Based on Adaptive Sensing
8 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: China Academy of Launch Vehicle Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago