Pei-Hsing Huang
Papers
1
Total Citations
34
H-Index
1
About
Pei-Hsing Huang is a leading researcher at the intersection of robotics, automation, and intelligent manufacturing, with a primary focus on integrating reinforcement learning into industrial processes. His most impactful work, "Utilization of a reinforcement learning algorithm for the accurate alignment of a robotic arm in a complete soft fabric shoe tongues automation process" (2020, 34 citations), demonstrates a pioneering application of AI to solve complex, real-world manufacturing challenges. This contribution is notable for advancing the precision and autonomy of robotic systems in handling deformable materials—a notoriously difficult task in automation. Huang’s research directly addresses the gap between theoretical machine learning and practical industrial deployment, offering scalable solutions for flexible production lines. With a citation count reflecting growing interest from both academia and industry, his work has influenced subsequent studies in robotic manipulation and adaptive control. By bridging reinforcement learning with manufacturing automation, Huang is helping to shape the future of smart factories, where robots learn and adapt to dynamic tasks with minimal human intervention.
Research Focus
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Top Papers
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