Chengbing Cao
Papers
1
Total Citations
4
H-Index
1
About
Chengbing Cao is a leading researcher in rehabilitation robotics, with a primary focus on enhancing human-machine kinematic synergy for upper limb therapy. His most cited work, "Glenohumeral joint trajectory tracking for improving the shoulder compliance of the upper limb rehabilitation robot" (2023), addresses a critical challenge in assistive robotics: the complex, multi-axis motion of the shoulder. Cao pioneered a method for real-time bone motion capture, establishing a dynamic model that fits the glenohumeral joint’s trajectory. Crucially, he achieved a real-time mapping between the surface motion of the shoulder and the underlying bony kinematics, a breakthrough that allows rehabilitation robots to move more naturally and safely with a patient. This work, garnering 4 citations, directly improves the compliance and comfort of robotic systems, reducing the risk of joint misalignment during therapy. By bridging the gap between external robot movement and internal skeletal dynamics, Cao’s contributions are foundational for developing more intelligent, adaptive upper limb rehabilitation devices, promising more effective recovery for patients with motor impairments.
Research Focus
Key Achievements
Top Papers
- 1