Papers

2

Total Citations

5

H-Index

2

About

Shuqi Xue is a pioneering researcher at the intersection of space robotics and artificial intelligence, with a primary focus on human–robot collaboration for deep space exploration. Her work addresses the critical challenge of enabling seamless, safe teamwork between astronauts and autonomous systems in extreme environments, from lunar surfaces to future deep-space missions. Xue’s major contributions include developing a novel Human–Robot Team Knowledge-Enhanced Large Language Model for fault analysis in lunar surface exploration—a breakthrough that leverages AI to interpret complex, multi-dimensional operational data and enhance mission safety. Her comprehensive overview, "From space station to deep space: An overview of robots in space exploration," synthesizes the evolving role of robotic systems in reducing astronaut physical burden while improving mission endurance. Though early in her career, with her most-cited works accumulating 3 and 2 citations respectively, Xue’s research is gaining traction for its timely integration of large language models with space robotics. Her work is particularly notable for advancing the concept of human-robot teams as a prerequisite for sustainable deep-space habitation, positioning her as an emerging voice in next-generation space exploration technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Human–Robot Team Knowledge-Enhanced Large Language Model for Fault Analysis in Lunar Surface Exploration
3 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: China Astronaut Research and Training Center

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago