Papers
8
Total Citations
139
H-Index
5
About
Ran Hao is a leading researcher in surgical robotics, with a primary focus on advancing autonomous capabilities for minimally invasive procedures. His work centers on two key areas: vision-based perception for the da Vinci Surgical System and contact-safe control for robotic cardiac catheters. Hao’s most impactful contribution is a novel camera-robot calibration method for the da Vinci system, published in 2020 and cited 58 times, which enables precise hand-eye coordination between the endoscopic camera and patient-side manipulators—a critical step toward semi-autonomous surgery. He also developed a stereo-vision approach for surgical tool pose estimation (42 citations) and a Bayesian tracking algorithm for 3D needle localization (20 citations), both enhancing intraoperative instrument awareness. In cardiac robotics, Hao has pioneered probabilistic models for analyzing contact stability and safety of magnetically-actuated catheters under heart motion and blood flow disturbances, with several papers from 2020–2021 laying the groundwork for safer ablation procedures. His recent 2025 work on landing control for catheters on beating hearts demonstrates his ongoing drive to translate these principles into real-time control. With over 130 total citations, Hao’s research is shaping the future of intelligent, autonomous surgical robots.
Research Focus
Key Achievements
Top Papers
- 1Camera-Robot Calibration for the Da Vinci Robotic Surgery System58 citations · 2020
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