About

Shufei Li is a leading researcher at the forefront of human-robot collaboration (HRC) and smart manufacturing, whose work has fundamentally advanced how humans and robots interact, communicate, and co-evolve in industrial environments. With a research portfolio accumulating over 1,300 citations, Li has established herself as a pioneering voice in proactive, human-centric robotics — moving the field beyond reactive, robot-dominant paradigms toward systems where machines can anticipate, understand, and respond to human intent. Her most influential contributions include developing mutual-cognitive HRC frameworks that enable robots to proactively collaborate rather than merely react, garnering 241 citations, and pioneering AR-assisted digital twin systems that bridge physical and virtual manufacturing spaces with 200 citations. Li's work on multimodal human-robot interaction synthesizes vision, language, and action recognition to create safer and more intuitive collaborative environments. Her research on transfer-learning-enabled action prediction and visual reasoning further demonstrates her ability to translate cutting-edge AI into practical manufacturing solutions. Spanning augmented reality integration, collaborative intelligence for handling uncertainty, and human-in-the-loop robot learning, Li's portfolio reflects a coherent, impactful vision: placing human cognition at the center of next-generation intelligent manufacturing systems.

Research Focus

Key Achievements

18
H-Index
27
Papers
1,645
Total Citations
61
Avg Citations/Paper
🏆 Most Cited Paper
Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives
241 citations · 2022
📈 Most Prolific Year: 2022 (7 Papers)
🤝 Key Collaborators: 49
🏛 Institutions: Hong Kong Polytechnic University, Nanyang Technological University, City University of Hong Kong, Tianjin University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago