Papers
2
Total Citations
25
H-Index
2
About
Li-Xin Pan is a robotics researcher whose work focuses on the design and control of novel actuation systems for compact, lightweight robotic devices. His most significant contribution is the development of variable stiffness joints based on twisted string actuators, a technology that enables precise and adaptable motion in very small form factors. In his 2015 paper, which has garnered 16 citations, Pan demonstrated how feedback linearization can be used to control these joints in an antagonistic configuration, paving the way for more dexterous and safe human-robot interaction. Beyond actuation, Pan has also advanced autonomous navigation for critical applications. His 2020 work on the Sampling-Based Model Predictive Control (SBMPC) algorithm, cited 9 times, specifically targets path planning for rescue and detection robots in hazardous environments like coal mines. By integrating model predictive control with sampling-based methods, his algorithm improves the safety and reliability of autonomous robots operating in dangerous, unstructured settings. Pan’s research bridges the gap between innovative hardware design and intelligent control, making him a notable contributor to the fields of soft robotics and field robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2