About

Jianwei Sun is a leading researcher in rehabilitation and assistive robotics, with a primary focus on exoskeleton systems for human mobility and physical human-robot interaction (pHRI). His work spans the design, control, and safety of both lower-limb and upper-limb exoskeletons, addressing critical challenges in restoring motor function for individuals with neuromuscular or musculoskeletal disorders. Sun’s most cited paper (48 citations) proposes an anthropomorphic, electrically driven lower-limb exoskeleton rehabilitation robot, demonstrating a user-centered design approach to enhance standing and walking capabilities. He has made significant contributions to sensor reduction and estimation strategies for multi-DOF exoskeletons (31 citations), improving system efficiency and reliability. His comparative analysis of admittance control schemes for the dual-arm EXO-UL8 exoskeleton (19 citations) provides foundational insights for passive and active rehabilitation modes. Sun has also advanced safety in pHRI with a hardware-independent, safety-focused admittance control approach (2024) and tackled delay-induced oscillations using rate-limiting techniques. Beyond rehabilitation, his work includes path planning for industrial robotics and the novel “Rubbot” for climbing on flexible surfaces. With a growing citation record and a focus on translating robotic systems from lab to clinical and industrial settings, Jianwei Sun is shaping the future of safe, effective, and intelligent human-robot collaboration.

Research Focus

Key Achievements

5
H-Index
8
Papers
129
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Electrically Driven Lower Limb Exoskeleton Rehabilitation Robot Based on Anthropomorphic Design
48 citations · 2022
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Changchun University of Technology, University of California, Los Angeles, ETH Zurich, Shanghai Jiao Tong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago