Papers

5

Total Citations

18

H-Index

3

About

Yaoping Hu is a leading researcher in haptics, surgical simulation, and human visuomotor systems, with a focus on enhancing robot-assisted surgery and virtual reality (VR) training. Her work bridges engineering and human perception, exploring how force feedback and motion mapping affect surgical tool accuracy and user performance. Hu’s studies on soft-tissue dissection and breast phantom palpation have advanced real-time haptic models for surgical training, addressing critical gaps in tool-tissue interaction. Her highly cited papers, such as “Towards an analytic haptic model for force rendering of soft-tissue dissection” and “Effect of force feedback from each DOF on the motion accuracy of a surgical tool,” have each garnered 5 citations, reflecting their foundational impact. Hu also investigates constraints in human visuomotor systems, offering insights into how visual and motor information is processed. Her work on VR-based dissection and motion coupling highlights the challenges of direct mapping versus traditional surgical interfaces. With a career spanning over two decades, Hu’s contributions are vital for developing more intuitive, effective surgical tools and training systems, making her a key figure in the intersection of haptics, robotics, and human factors.

Research Focus

Key Achievements

3
H-Index
5
Papers
18
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Towards an analytic haptic model for force rendering of soft-tissue dissection
5 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Calgary, National Research Council Canada

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago