Papers
21
Total Citations
646
H-Index
10
About
Lianyu Zheng is a leading researcher in smart manufacturing, with a focus on human–robot collaboration (HRC), digital twin technology, and intelligent robotic machining. His work addresses critical challenges in large-scale component manufacturing, particularly for aerospace applications. Zheng’s most cited paper (241 citations) introduces a proactive HRC framework that moves beyond reactive human- or robot-dominant paradigms, emphasizing mutual cognition, predictability, and self-organization for resilient, human-centric production. He has pioneered force control-based vibration suppression in robotic grinding (100 citations) and developed a human-centric assembly system for large space deployable mechanisms using digital twins and wearable AR (77 citations). His recent contributions include knowledge graph-based digital twin modeling for robotic machining (47 citations), multi-robot scheduling via multi-agent reinforcement learning (37 citations), and LLM-based multi-agent task planning for HRC (2025). Zheng’s work consistently integrates advanced AI, sensor fusion, and real-time adaptation, achieving significant impact in both theoretical and applied domains. With over 600 total citations, his research is shaping the future of intelligent, collaborative manufacturing systems.
Research Focus
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