Ping-An Bao
Papers
1
Total Citations
5
H-Index
1
About
Ping-An Bao is a researcher whose work lies at the intersection of robotics, dynamics, and intelligent control systems. His most cited contribution, "A learning scheme for the parameter identification of robot dynamics" (2002), introduces a novel learning identification algorithm that simplifies the complex process of modeling robotic systems. This method is distinguished by its ability to identify dynamic parameters without requiring predefined exciting trajectories or direct measurements of joint accelerations and velocities—a significant practical advancement that reduces experimental burden and enhances real-world applicability. Though the paper has garnered 5 citations, its conceptual impact is notable for pioneering a more accessible approach to robot parameter estimation. Bao’s research addresses fundamental challenges in making robotic systems more adaptive and easier to calibrate, contributing to the broader fields of system identification and adaptive control. His work is particularly valuable for students and engineers seeking efficient, data-driven methods to improve robot performance and autonomy.
Research Focus
Key Achievements
Top Papers
- 1A learning scheme for the parameter identification of robot dynamics5 citations · 2002