About

Yuehong Dai is a pioneering researcher in the field of active spacesuit technology and exoskeleton robotics, with a focused expertise in joint-assisted control systems for both upper and lower extremities. Her major contributions center on integrating exoskeleton mechanisms into spacesuits to enhance astronaut mobility and reduce physical strain during extravehicular activities. Notably, she has developed novel control systems that leverage hysteresis identification models—such as the Jiles-Atherton approach optimized by simulated annealing particle swarm optimization—to counteract joint resistant torque. Her work also explores adaptive admittance control using radial basis function neural networks for seamless human-spacesuit interaction, as well as the application of switched reluctance motors for precise robotic joint servo control. With over 19 citations across her most-cited papers, Dai’s research has laid critical groundwork for next-generation active spacesuits. Her 2025 study on adaptive admittance control represents a significant leap forward in addressing dynamic uncertainties in human-robot interaction. Through her innovative blend of mechanical design, control theory, and intelligent algorithms, Dai is shaping the future of assistive exoskeleton technology for space exploration and beyond.

Research Focus

Key Achievements

3
H-Index
6
Papers
19
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Research on Joint-Assisted Exoskeleton Control System of Lower Extremity in Active Spacesuit
5 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Nanjing University of Aeronautics and Astronautics, University of Electronic Science and Technology of China

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago