Papers
10
Total Citations
142
H-Index
7
About
Qunzhi Li’s research lies at the intersection of surgical robotics, cable-driven parallel robots, and embodied intelligence for space exploration. A key contribution is the development of “MicroHand,” a master-slave microsurgery robotic system with force feedback, which enhances precision in delicate procedures. Li’s work on robot-assisted laryngeal surgery systems and haptic devices with gripping force feedback has advanced minimally invasive surgical capabilities. In parallel, Li has tackled challenges in planetary rover mobility with a geometry-based slip prediction model and quadruped robot locomotion using model-free deep reinforcement learning, achieving faster, more adaptive gaits. More recently, Li has explored cable-driven parallel robots for vibration suppression in spatial flexible structures and applied embodied intelligence to space exploration, leveraging large models for cognitive robotic tasks. With over 140 citations across these domains, Li’s work demonstrates a sustained impact on both surgical and extraterrestrial robotics, bridging theoretical design with practical, intelligent systems. Notable achievements include the integration of force feedback in microsurgery and the application of reinforcement learning to legged locomotion, positioning Li as a versatile innovator in robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Robotic System with Force Feedback for Micro-Surgery30 citations · 2006
- 3Kinematic Design for Robot-assisted Laryngeal Surgery Systems18 citations · 2006
- 4A geometry-based slip prediction model for planetary rovers16 citations · 2020
- 5Conceptual design and dimensional synthesis of “MicroHand”15 citations · 2007
- 6
- 7Haptic Device with Gripping Force Feedback8 citations · 2006
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- 10