Papers

7

Total Citations

119

H-Index

6

About

Hao Ying’s research lies at the intersection of telerobotics, surgical robotics, and intelligent control systems, with a focus on enhancing safety and autonomy in minimally invasive surgery. His major contributions include developing a robotic recording and playback platform for the da Vinci Surgical System, which enables synchronized capture of video, joint angles, and surgeon interactions for training and autonomous behavior learning. He has also pioneered real-time image processing algorithms that predict and localize unintentional bleeding during robotic and laparoscopic surgery using entropy-based detection methods. His work on telerobotic time delay mitigation addresses critical challenges in latency-prone applications such as space operations and medical interventions. With over 60 citations for his survey on telerobotic time delay, Ying’s research demonstrates significant impact in advancing surgical training and intraoperative safety. His development of low-cost pedagogical environments for image-guided robotic surgery further underscores his commitment to accessible education in this field. Through his innovative contributions, Ying continues to shape the future of autonomous and teleoperated surgical systems.

Research Focus

Key Achievements

6
H-Index
7
Papers
119
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
A Brief Survey of Telerobotic Time Delay Mitigation
61 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Wayne State University, CAE (Canada), Universidad Politécnica de Madrid

Top Papers

  1. 1
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  5. 5
    3D Visual Methods for Object Pose Measurement
    8 citations · 2002
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago