Chia-Pin Wu

National Taipei University of Technology, National Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Chia-Pin Wu is a pioneering roboticist whose work bridges the critical gap between autonomous navigation and humanoid locomotion. His research centers on two foundational challenges in robotics: real-time obstacle avoidance in dynamic environments and stable bipedal walking. Wu’s most influential contribution, the "vector-distance function method" (1997), introduced a novel approach for mobile robots to simultaneously detect both moving and stationary obstacles and generate collision-free paths in real time—a problem that remains central to autonomous systems today. This work, with 11 citations, laid early groundwork for modern motion planning. In his later research on 3D bipedal robots (2012), Wu developed a time-invariant feedback controller that simultaneously regulates the zero-moment point (ZMP) and joint configuration to achieve asymptotically stable, periodic walking gaits. This achievement addresses one of the most persistent challenges in humanoid robotics: maintaining balance while walking. Though his citation counts reflect a focused, specialized career, Wu’s contributions are notable for their practical, implementable solutions to core robotics problems—offering foundational algorithms that continue to inform both mobile robot navigation and bipedal locomotion research.