Yonghang Tai
Papers
4
Total Citations
31
H-Index
2
About
Yonghang Tai is a pioneering researcher at the intersection of robotic surgery, virtual reality, and artificial intelligence, with a primary focus on advancing surgical simulation and training technologies. His most significant contribution is the development of a Virtual Reality-based Digital-Twin Robotic Minimally Invasive Surgery (RMIS) Simulator, a landmark work that has garnered 25 citations since 2023. This innovation addresses critical challenges in RMIS by eliminating hand tremors and reducing patient trauma, while providing surgeons with a realistic, risk-free training environment. Tai’s work on High-Fidelity Robotic Surgical Scene Generation using implicit deformable neural radiance fields represents a cutting-edge application of AI-generated content (AIGC) to healthcare, pushing the boundaries of how surgical scenes can be synthesized from existing data. His research also encompasses dynamic force modeling for robot-assisted percutaneous operations and viscoelastic cluster-constrained soft tissue behavior simulation, demonstrating a comprehensive approach to surgical realism. By integrating digital twin technology with haptic feedback and deformable tissue modeling, Tai is helping to bridge the gap between virtual training and real-world surgical precision, making him a notable figure in the evolution of next-generation medical robotics.
Research Focus
Key Achievements
Top Papers
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