Jinwu Qian

Shanghai University

Papers

23

Total Citations

176

H-Index

8

About

Jinwu Qian is a pioneering researcher at the intersection of robotics, rehabilitation engineering, and biomedical instrumentation. His work addresses fundamental challenges in deformable object manipulation, particularly through his highly cited study on cable harness connection—a practical solution to one of robotics' most persistent obstacles. With over 36 citations, this research has significant implications for industrial automation and assembly tasks. Qian's contributions to rehabilitation robotics are equally impactful. His dynamic walking planning for gait rehabilitation robots and trajectory adaptation for impedance control-based training systems have advanced therapeutic technologies for patients with mobility impairments. His classification of finger movements using surface electromyography (sEMG), cited 18 times, demonstrates expertise in prosthetic control and human-machine interfaces. In biomedical instrumentation, Qian has pioneered shape detection and position tracking using fiber Bragg grating sensors, achieving sub-millimeter accuracy for catheters and surgical instruments. His analysis of strain transfer characteristics for no-substrate, thin-diameter sensors has enabled precise shape reconstruction in minimally invasive procedures. With over 10 papers and cumulative citations exceeding 100, Qian's interdisciplinary approach—spanning wall-climbing robot gait programming to hand gesture recognition via deep neural networks—showcases his versatility. His work bridges theoretical innovation and practical application, making him a notable figure in advancing robotic dexterity and rehabilitation technology.

Research Focus

Key Achievements

8
H-Index
23
Papers
176
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A Practical Solution to Deformable Linear Object Manipulation: A Case Study on Cable Harness Connection
36 citations · 2020
📈 Most Prolific Year: 2020 (5 Papers)
🤝 Key Collaborators: 46
🏛 Institutions: Shanghai University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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