About

Lihui Wang is a leading researcher in advanced manufacturing, robotics, and human-robot collaboration (HRC), whose work has fundamentally shaped how intelligent systems and humans work together in industrial environments. Based at KTH Royal Institute of Technology, Wang has built a distinguished body of research spanning collaborative robotics, robotic machining, augmented reality, and cyber-physical production systems. Wang's most influential contributions center on making human-robot collaboration safer, smarter, and more intuitive. His work on symbiotic and proactive HRC frameworks — garnering over 500 and 240 citations respectively — has redefined interaction paradigms by moving beyond reactive systems toward mutual cognition and self-organization. His comprehensive review of gesture recognition for HRC (416 citations) and deep learning-based motion recognition (237 citations) demonstrate his commitment to bridging perception and intelligent manufacturing. With over 370 citations, his review of industrial robotic machining spanning three decades stands as an essential reference for the field. During the COVID-19 pandemic, Wang pivoted to examine robotics' critical humanitarian role, reflecting his broad societal awareness. Collectively accumulating thousands of citations, Wang's research positions him as a defining voice in the future of human-centric, resilient smart manufacturing.

Research Focus

Key Achievements

48
H-Index
180
Papers
9,490
Total Citations
53
Avg Citations/Paper
🏆 Most Cited Paper
Symbiotic human-robot collaborative assembly
546 citations · 2019
📈 Most Prolific Year: 2021 (25 Papers)
🤝 Key Collaborators: 243
🏛 Institutions: KTH Royal Institute of Technology, Health Affairs, University of Skövde, Shanghai Jiao Tong University, National Pingtung University, National Academies of Sciences, Engineering, and Medicine

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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