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About

Huimin Li is a multidisciplinary researcher whose work spans human-robot collaboration, unmanned aerial vehicle (UAV) simulation systems, and construction scene understanding. With a career trajectory that bridges intelligent manufacturing and autonomous systems, Li has made meaningful contributions to optimizing how humans and robots work together in industrial environments. Li's most prominent contribution, "Research on Human-Robot Joint Task Assignment Considering Task Complexity" (2021, 7 citations), introduced a sophisticated model for allocating assembly tasks between human workers and robots. Rather than focusing solely on cost or time, Li's framework uniquely accounts for operational and decision-making complexity, striving for balanced resource utilization while minimizing assembly delays — a notably worker-centric perspective. Earlier in their career, Li developed hardware-in-the-loop (HIL) simulation platforms for UAV systems (2009, 2012), enabling rigorous testing of object detection, tracking, and localization algorithms in controlled experimental settings — work that laid important groundwork for autonomous aerial systems research. More recently, Li's 2025 paper on worker-centric construction scene understanding (3 citations) signals an expanding focus on human-centered AI applications in built environments. Collectively, Li's research reflects a consistent commitment to placing human welfare and operational intelligence at the center of emerging automation technologies.