Papers
3
Total Citations
19
H-Index
2
About
Pengbo Li is a robotics researcher specializing in soft robotics, parallel mechanisms, and rehabilitation exoskeletons. Their work focuses on developing novel flexible-actuated robotic systems that bridge the gap between compliant motion and load-bearing capability—a critical challenge in soft robotics. Li’s most cited paper, “Modeling and Experimental Study of a Novel Multi-DOF Parallel Soft Robot” (2020, 15 citations), introduces a flexible-actuated multi-degree-of-freedom parallel soft robot that combines three flexible-actuated elements to achieve both high dexterity and substantial payload capacity. This work has been foundational for researchers exploring soft robots in industrial and service applications. Li further extended this concept to healthcare robotics with the design of a flexible-driven parallel soft massage robot (2019). In rehabilitation engineering, Li proposed an impedance control scheme for a novel composite modular lower-limb hemiplegic exoskeleton (2021), addressing smooth, adaptive motion control for stroke patients. Though early in their career, Li’s integration of soft actuation with parallel kinematics represents a promising direction for creating safer, more versatile robots for human interaction and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1Modeling and Experimental Study of a Novel Multi-DOF Parallel Soft Robot15 citations · 2020
- 2
- 3