Jinli Wang

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Jinli Wang is a pioneering researcher at the intersection of robotic tactile sensing and surgical skill assessment, with a focus on enhancing precision in medical robotics and autonomous systems. Their major contributions include developing a novel Halbach-cylinder-based magnetic skin for robotic tactile sensing, which overcomes the limitations of weakly interpretable information mapping in traditional sensors—a breakthrough that enables robots to perceive complex environments with greater accuracy. In surgical applications, Wang introduced dynamic warping manipulations for assessing percutaneous coronary intervention (PCI) skills, providing an effective method to quantify dexterity in interventional cardiology. This work, involving expert and novice comparisons, has direct implications for training and certification in high-stakes medical procedures. With over 40 citations across their most-cited papers, Wang’s research has quickly gained recognition for addressing critical gaps in both tactile sensor design and surgical skill evaluation. Their achievements highlight a commitment to translating engineering innovations into practical tools for healthcare and robotics, making them a notable figure in advancing human-machine interaction and medical training technologies.