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About

Li Yi is a researcher working at the intersection of advanced manufacturing, human-machine interaction, and intelligent automation systems. Their work centers on cyber-physical production systems, digital transformation in industrial logistics, and human-robot collaboration — areas that are increasingly critical as Industry 4.0 reshapes modern manufacturing. Among their most notable contributions is a 2022 study evaluating 5G-capable frameworks for human cyber-physical production systems (HCPS), which has garnered 30 citations and addresses the vital challenge of integrating anthropogenic behavior into smart manufacturing environments. This work extends conventional cyber-physical systems by placing the human worker at the center of socio-technical design. Their 2020 research on digital twins within production logistics, cited 19 times, tackles the persistent challenge of automating complex material flow operations — a real-world problem where human-computer and human-robot interaction remain essential bottlenecks. More recently, Li Yi has explored intelligent robotic path planning using deep reinforcement learning, specifically applying the Deep Deterministic Policy Gradient (DDPG) algorithm to improve safety in human-robot collaboration workspaces. With a growing body of work spanning connectivity, digitalization, and AI-driven robotics, Li Yi represents a forward-thinking voice in the future of intelligent, human-centered manufacturing.