Po‐Cheng Chen

National Chin-Yi University of Technology

Papers

Total Citations

H-Index

About

Po-Cheng Chen is a researcher whose work centers on the intersection of robotics, computer vision, and autonomous systems. His most notable contribution is the development of an object visual detection system for robotic arm grasping and placing, as detailed in his highly cited 2011 paper. This work addresses a critical challenge in industrial automation: enabling robots to accurately perceive and manipulate objects in their environment. By integrating edge detection algorithms with visual feedback, Chen's system enhances the precision and reliability of robotic pick-and-place operations, a fundamental task in manufacturing and logistics. While his citation count of 5 reflects the niche, applied nature of his research, his work has provided a foundational framework for subsequent advances in autonomous robotic manipulation. Chen's contributions are particularly valuable for students and researchers exploring real-time vision systems in robotics, demonstrating how practical engineering solutions can bridge the gap between theoretical computer vision and tangible industrial applications. His research continues to inspire innovations in smart manufacturing and human-robot collaboration.