Yu‐Bin Chen

Northeastern University, National Central University

Papers

Total Citations

H-Index

About

Yu-Bin Chen is a researcher whose work bridges intelligent control systems and precision optical sensing. His primary research areas include automated guided vehicle (AGV) control, deep reinforcement learning, and advanced laser-based positioning technologies. Chen’s most notable contribution is the development of a method for automatic PID parameter adjustment in AGVs using deep reinforcement learning, a novel approach that addresses the critical challenge of smooth and efficient autonomous navigation. This work, published in 2022, has already garnered 5 citations, signaling its growing relevance in the field of intelligent manufacturing and robotics. Earlier, Chen demonstrated his versatility with a 2011 paper on wafer positioning via laser scanning, a technique that enhances precision in semiconductor manufacturing by using a laser scanner and scattering light receiver to detect wafer edges. Though this earlier work has 2 citations, it reflects a sustained interest in optical measurement and automation. Chen’s research is particularly impactful for students and engineers working at the intersection of AI-driven control systems and industrial automation, offering practical solutions for real-world applications in logistics and semiconductor fabrication.