Chengli Li
Papers
1
Total Citations
25
H-Index
1
About
Chengli Li is a pioneering researcher at the intersection of robotic surgery, virtual reality (VR), and digital-twin technologies. His primary research areas include robotic minimally invasive surgery (RMIS), surgical simulation, and human-robot interaction. Li’s most notable contribution is the development of a VR-based digital-twin RMIS simulator, which creates a high-fidelity virtual replica of surgical robots to train surgeons in a risk-free environment. This work addresses critical challenges in RMIS—such as eliminating hand tremors and reducing patient trauma—by enabling realistic, immersive practice without the need for physical equipment. His landmark 2023 paper on this simulator has already garnered 25 citations, reflecting its growing influence in the field. Li’s research bridges engineering and medicine, offering scalable solutions for surgical training and preoperative planning. By integrating digital twins with VR, he has advanced the safety and accessibility of robotic surgery, making him a key figure in next-generation surgical technology. His work holds promise for reducing surgical errors and expanding RMIS adoption worldwide.
Research Focus
Key Achievements
Top Papers
- 1