Papers
3
Total Citations
27
H-Index
2
About
Dingjia Li is a rising researcher at the forefront of surgical robotics, with a focus on enhancing the safety, dexterity, and sensory feedback of minimally invasive surgical instruments. Li’s major contributions lie in three interconnected areas: active collision avoidance for continuum robots, force-sensing surgical instrument design, and shape sensing for single-port robots. In his most-cited work (2023, 23 citations), Li proposed a comprehensive control framework for teleoperated multi-segment continuum robots, addressing the critical challenge of collision avoidance in constrained workspaces with limited visual feedback—a key step toward safer robot-assisted surgery. He also developed a novel 4-degree-of-freedom surgical instrument integrating a universal joint with 6-axis force sensation (2024, 2 citations), directly tackling the lack of force feedback that hinders efficiency in robot-assisted endoscopic surgery. Additionally, Li advanced shape sensing for single-port continuum robots using few multicore fiber Bragg grating sensors (2023, 2 citations), enabling precise real-time shape reconstruction. His work bridges fundamental control theory with practical surgical tool design, promising to improve both surgeon confidence and patient outcomes in next-generation minimally invasive procedures.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3