Papers

8

Total Citations

83

H-Index

5

About

Dr. Jinxing Yang is a leading researcher in intelligent robotic manufacturing, specializing in sEMG-based human-robot interaction, robotic polishing optimization, and 3D vision-guided automation. His seminal work on continuous hand gesture recognition using GMM-HMM and threshold models (24 citations) laid the foundation for intuitive control of upper-limb exoskeletons, enabling seamless human-machine collaboration. In manufacturing, Dr. Yang has revolutionized surface finishing through systematic process optimization: his response surface method (20 citations) and Taguchi-based parameter optimization (8 citations) for robotic polishing have significantly reduced surface roughness and improved mold steel quality. He further advanced adaptive impedance control for curved mold polishing (15 citations), addressing the critical challenge of uneven surface quality caused by curvature variations. His innovations extend to path planning with B-spline curves for force-controlled grinding (7 citations) and 3D vision-based conveyor tracking systems for high-speed sorting applications (5 citations). With over 80 total citations, Dr. Yang’s work bridges the gap between theoretical control algorithms and practical industrial deployment, offering robust solutions for automated polishing, grinding, and sorting in constrained manufacturing environments.

Research Focus

Key Achievements

5
H-Index
8
Papers
83
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
sEMG-based continuous hand gesture recognition using GMM-HMM and threshold model
24 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Quanzhou Institute of Equipment Manufacturing Haixi Institute, Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago