Papers
25
Total Citations
368
H-Index
8
About
Chen Lv is a distinguished researcher at the forefront of intelligent robotics, human-robot collaboration, and autonomous systems, with particular expertise in the emerging paradigm of Industry 5.0. His work centers on developing human-centric cyber-physical systems that seamlessly integrate human cognition, digital intelligence, and physical automation — a vision articulated in his highly influential 2024 review on Human-Cyber-Physical Systems, which has already garnered 120 citations. Lv has made significant contributions to disassembly planning within human-robot hybrid cells, pioneering personalized and adaptive frameworks that accommodate mass customization in manufacturing environments. His research extends into advanced control systems, including reinforcement learning-based robotic controllers capable of operating under sparse rewards and adversarial conditions, nonlinear predictive motion control for autonomous mobile robots, and multi-robot coordination strategies for dynamic real-world scenarios. Notably, his work on human-machine telecollaboration demonstrated practical impact during the COVID-19 pandemic by enabling safe large-scale robot deployment. With a growing body of work accumulating over 300 citations across recent years, Lv's research bridges theoretical innovation with real-world application, making him a compelling voice in the future of intelligent, human-centered automation.
Research Focus
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