Shanhe Lou
Papers
9
Total Citations
277
H-Index
6
About
Shanhe Lou is a pioneering researcher at the forefront of human-centric intelligent manufacturing, with a particular focus on Human-Cyber-Physical Systems (HCPS), human-robot collaboration, and Industry 5.0 frameworks. His work addresses one of modern manufacturing's most pressing challenges: seamlessly integrating human intelligence, digital systems, and physical robotics into cohesive, adaptive environments. Lou's most influential contribution, "Human-Cyber-Physical System for Industry 5.0" (2024, 120 citations), has rapidly become a foundational reference in the field, offering a comprehensive human-centric perspective on next-generation industrial systems. Complementing this, his research on sequential disassembly planning within human-robot collaboration cells (72 citations) demonstrates the practical applicability of HCPS frameworks in real-world manufacturing scenarios. His innovative development of Human Digital Twin models—leveraging multimodal data for locomotion identification and task intention recognition—showcases his ability to bridge theoretical frameworks with tangible technological solutions. More recently, Lou has expanded into large language model-driven robotic manipulation and augmented reality-assisted human-robot interaction, signaling a bold trajectory toward truly intelligent, adaptive systems. With over 270 cumulative citations across just a few years of publication, Lou is rapidly establishing himself as an essential voice shaping the future of Industry 5.0 and intelligent manufacturing.
Research Focus
Key Achievements
Top Papers
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- 6Human-robot interactive disassembly planning in Industry 5.0<sup>*</sup>6 citations · 2023
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