About

Guoxin Li is a prominent robotics and control systems researcher whose work sits at the intersection of human-robot interaction, assistive technologies, and intelligent control. His research focuses on exoskeleton systems, prosthetic limbs, and biped robots, with a particular emphasis on developing sophisticated control frameworks that seamlessly integrate human intention and biomechanical models into robotic systems. Li's most influential contribution, "Asymmetric Cooperation Control of Dual-Arm Exoskeletons" (116 citations), introduced novel human collaboration models that extend natural human cooperative skills to human-robot partnerships — a significant conceptual leap in the field. His work on active human-following control and assimilation control further demonstrates his commitment to making exoskeletons safer and more intuitive for rehabilitation and daily use. Notably, his muscle-synergy-based approaches for both prosthetic arms and upper limb rehabilitation robots (totaling over 60 citations) have advanced myoelectric control by improving motion intention estimation across complex three-dimensional movements. Across his portfolio, Li has accumulated over 370 citations, reflecting substantial influence in assistive robotics. His research consistently addresses real-world challenges facing individuals with motor impairments, blending rigorous mathematical control theory with human-centered design to meaningfully improve quality of life for amputees and rehabilitation patients alike.

Research Focus

Key Achievements

11
H-Index
21
Papers
437
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Asymmetric Cooperation Control of Dual-Arm Exoskeletons Using Human Collaborative Manipulation Models
116 citations · 2021
📈 Most Prolific Year: 2024 (6 Papers)
🤝 Key Collaborators: 62
🏛 Institutions: University of Science and Technology of China, Shanghai Sunshine Rehabilitation Center, Beihang University, China University of Mining and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago