Papers

16

Total Citations

293

H-Index

10

About

Bo Ouyang is a robotics and medical engineering researcher whose work sits at the intersection of surgical robotics, continuum robot design, and autonomous control systems. His research has made significant contributions to minimally invasive surgery (MIS), developing intelligent robotic platforms that enhance surgical precision while reducing reliance on manual intervention. Among his most influential contributions is the Visual Tracking Space Vector method for autonomous laparoscope control, enabling robot-held cameras to track multiple surgical instruments without manual adjustment — a breakthrough that has garnered 52 citations since 2021. Ouyang has been instrumental in advancing continuum robot design, producing foundational work on multi-segment flexible robots capable of navigating confined anatomical spaces, with early design papers dating to 2016. His research further extends to collision avoidance in surgical robots, soft-object deformation control using model-predictive frameworks, and task-autonomous laser-assisted endoscopic surgery. With a cumulative citation count exceeding 280 across his most prominent works, Ouyang's research has meaningfully shaped how roboticists approach flexibility, autonomy, and safety in clinical environments, offering compelling solutions for next-generation surgical systems.

Research Focus

Key Achievements

10
H-Index
16
Papers
293
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Multiple Instruments Tracking for Robot-Assisted Laparoscopic Surgery With Visual Tracking Space Vector Method
52 citations · 2021
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 39
🏛 Institutions: Hefei University of Technology, City University of Hong Kong, Chinese University of Hong Kong

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago