Yongyi He

Shanghai University

Papers

12

Total Citations

60

H-Index

5

About

Yongyi He is a robotics researcher whose career spans over two decades, with expertise in robot simulation and control, human-robot collaboration, service robotics, and intelligent automation systems. Beginning in the early 2000s, He made foundational contributions to robot monitoring and simulation, developing PC-based and network-connected systems using OpenGL and Java3D that enabled real-time 3D visualization and remote control of industrial robots — work that garnered consistent citations and laid groundwork for later advances in the field. His research has evolved to tackle increasingly sophisticated challenges, including the design of dual-arm SCARA robots for complex industrial tasks, biomimetic stereo vision for service robots, and an ACT-R-typed human-robot collaboration mechanism aimed at assisting elderly and disabled users. He has also contributed to agricultural automation through CNN-based chrysanthemum harvesting recognition, and to medical safety through a hybrid collision detection algorithm for cardiovascular DSA equipment. His omni-directional opera robot motion planning reflects a creative breadth rarely seen in the field. With a body of work accumulating citations across robotics, computer vision, and intelligent systems, He represents a sustained and versatile contributor to applied robotics research, bridging theoretical modeling with practical, human-centered applications across industrial, medical, and domestic domains.

Research Focus

Key Achievements

5
H-Index
12
Papers
60
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Design and Analysis of Dual-arm SCARA Robot Based on Stereo Simulation and 3D Modeling
11 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Shanghai University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago