Ping-Chieh Yang

Papers

Total Citations

H-Index

About

Ping-Chieh Yang is a researcher in autonomous robotics and adaptive control systems, with a focus on intelligent motion planning for wheeled mobile robots (WMRs). His most influential work, "Adaptive critic motion control design of autonomous wheeled mobile robot by dual heuristic programming" (2008, 40 citations), introduces a novel approach to velocity and path tracking control under complex dynamical constraints. By applying dual heuristic programming (DHP)—a form of adaptive critic design—Yang enables WMRs to autonomously learn and optimize control policies in real time, bypassing traditional manual analysis and synthesis. This contribution is significant for advancing autonomous drive systems, offering a more flexible and robust solution for navigation in uncertain environments. His earlier work (2007, 4 citations) laid the groundwork for this approach, demonstrating the potential of DHP in addressing the challenges of autonomous WMR control. Yang’s research bridges reinforcement learning and robotics, providing a foundation for future developments in intelligent, self-optimizing mobile systems. His work continues to inspire researchers in adaptive control and autonomous vehicle navigation.