Changle Li
Papers
13
Total Citations
107
H-Index
5
About
Changle Li is a leading researcher in medical robotics and surgical automation, with a focus on enhancing precision and safety in robot-assisted procedures. His major contributions span tool center point (TCP) calibration for puncture surgery, force-sensing systems for biomimetic hexapod robots, and stereo matching algorithms for robot vision. Notably, his 2021 work on a physician-friendly TCP calibration method for robot-assisted puncture surgery has garnered 29 citations, addressing critical challenges in accuracy stability and operability after tool replacement. Li also pioneered a force-sensing system for hexapod robots inspired by tiger beetles, enabling stable interaction with unstructured terrain (24 citations). His research extends to cranial and maxillofacial robotic systems, where he developed space calibration techniques to map image space to robot space, directly impacting surgical precision. Additionally, Li has explored pose and path planning for industrial robot surface machining using direction fields, tackling issues of low stiffness and nonlinearity. With over 100 total citations across his top papers, Li’s work is instrumental in advancing robotic surgery, autonomous navigation, and biomimetic robotics, making him a key figure in the integration of robotics into medical and industrial applications.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Stereo Matching Algorithm Based on 2D Delaunay Triangulation10 citations · 2015
- 4
- 5
- 6SPACE CALIBRATION OF THE ROBOT SYSTEM IN PUNCTURE SURGERY5 citations · 2021
- 7
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- 9Gravity balance mechanism for a spatial robotic manipulator4 citations · 2016
- 10The apposite way path planning algorithm based on local message3 citations · 2012