Papers

9

Total Citations

63

H-Index

5

About

Yanfeng Gao is a leading researcher in robotics, with a primary focus on industrial robot calibration, human-robot interaction, and intelligent motion planning. His major contributions include developing innovative methods for robot performance optimization and control, such as using central pattern generators for hexapod robot motion planning and sequential calibration techniques for 6-DOF serial industrial robots. Gao’s work on deviation sensing for V-groove weld seams using acoustic sensors and autonomous path planning for robotic massage demonstrates his versatility in applying robotics to manufacturing and healthcare. His research has garnered over 60 citations, with key papers on robot sensitivity analysis and compliant control for redundant manipulators shaping the field. Notably, his studies on soft fingertip contact stiffness and adaptive fuzzy impedance control for human-massage robot interactions highlight his impact on safe, adaptive robotic systems. Gao’s achievements include advancing practical solutions for welding seam tracking and multipoint variable parameter control, making him a pivotal figure in modern robotics engineering.

Research Focus

Key Achievements

5
H-Index
9
Papers
63
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Parameters optimization of central pattern generators for hexapod robot based on multi-objective genetic algorithm
14 citations · 2021
📈 Most Prolific Year: 2024 (4 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: China Jiliang University, Shanghai University of Engineering Science

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago