Shuwen Pan

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About

Shuwen Pan is a pioneering researcher at the intersection of robotics, artificial intelligence, and smart infrastructure. Their work centers on three transformative areas: intelligent robotic systems for manufacturing and surgery, deep learning-driven automation, and the integration of the Internet of Robotic Things (IoRT) within smart city frameworks. Pan’s most influential contribution is the landmark 2019 study “Analyzing the robotic behavior in a smart city with deep enforcement and imitation learning using IoRT,” which has garnered 59 citations. This paper pioneered a novel hybrid approach combining deep reinforcement and imitation learning to enable autonomous robotic decision-making in complex urban environments, setting a benchmark for IoRT applications. In manufacturing, Pan designed an intelligent welding robot system (2019, 11 citations) that leverages binocular vision and deep learning for precision alignment, significantly advancing industrial automation. Earlier, Pan developed and controlled a robotic arm for percutaneous surgery (2017, 6 citations), introducing innovative mechanical design and force control methods that enhanced safety and accuracy in minimally invasive procedures. By bridging theoretical AI with practical robotics, Shuwen Pan’s work continues to inspire new generations of researchers in autonomous systems and smart city technologies.