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About

Pei-Chi Huang is a robotics and intelligent systems researcher whose work spans construction robotics, cyber-physical systems, robot learning, and human-robot interaction. Over the past decade, Huang has made significant contributions to advancing autonomous robotic capabilities in complex, unstructured environments — from warehouse automation to construction sites and healthcare settings. Huang's most influential work, "Development of BIM-integrated construction robot task planning and simulation system" (2021, 164 citations), demonstrates a pioneering integration of Building Information Modeling with robotic task planning, substantially advancing how autonomous robots can operate intelligently within construction workflows. This contribution has resonated strongly across both robotics and construction engineering communities. A recurring theme in Huang's research is the concept of the cyberphysical avatar — a semi-autonomous robot capable of operating under timing constraints while adapting to unpredictable environments with human oversight. This framework has informed subsequent work on neuroevolutionary learning, dexterous grasping, and imprecise computation tradeoffs in real-time robotic systems. More recently, Huang has embraced large language models to enhance robotic task planning, applying these technologies to patient care attendants and interior construction tasks, signaling a forward-looking trajectory toward more adaptive, knowledge-driven robotics. Collectively, Huang's research portfolio reflects a sustained commitment to bridging artificial intelligence, real-time systems, and practical robotic deployment across diverse high-impact domains.