Papers
9
Total Citations
77
H-Index
4
About
Chong Li is a robotics and rehabilitation engineering researcher whose work spans human-robot interaction, medical robotics, and autonomous systems. His most impactful contributions lie in the development and refinement of upper limb rehabilitation robots for stroke patients, exploring how technology — including video game integration — can boost patient engagement and motivation during recovery. His 2014 study on gamified robotic rehabilitation (25 citations) demonstrated that combining interactive video games with robotic training meaningfully enhanced participant engagement, while his 2021 work on quantitative motor function assessment (18 citations) advanced methods for objectively tracking patient recovery through admittance-controlled robotic systems. Beyond rehabilitation, Li has made notable contributions to robotic perception and calibration, with his globally optimal hand-eye calibration method (18 citations) offering improved precision for industrial visual servoing and robotic grasping. His broader portfolio reflects versatility across mobile robotics, SLAM algorithms, quadruped locomotion, and robot control theory. More recently, his 2025 work on artificial empathy in healthcare signals a growing interest in emotionally intelligent human-robot interaction. Collectively, Li's research demonstrates a sustained commitment to bridging engineering innovation with real-world clinical and industrial applications, making him a valuable contributor to the advancing field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Globally Optimal Symbolic Hand-Eye Calibration18 citations · 2020
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- 5Recent Progress in Robot Control Systems: Theory and Applications3 citations · 2023
- 6A micro quadruped crawling robot manufactured from PLA material3 citations · 2023
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