Papers
3
Total Citations
55
H-Index
3
About
Ke Wan is a leading researcher at the intersection of human-robot collaboration, smart manufacturing, and extended reality (XR) technologies. Their work focuses on bridging the gap between human creativity and robotic precision through intuitive, skill-based programming and immersive interfaces. Wan’s major contributions include developing augmented reality (AR)-based digital twin systems that enable low-code, human-guided robotic assembly, significantly reducing programming complexity for non-experts. They have also pioneered virtual reality (VR)-based teleoperation frameworks for remote human-robot collaborative manufacturing, enhancing flexibility in personalized production tasks. Most recently, Wan has advanced the field by integrating large language models (LLMs) with human demonstration to synthesize hybrid robot skills for collaborative assembly, pushing the boundaries of adaptive automation. With their most cited paper garnering 28 citations since 2024 and a growing portfolio of influential works, Wan’s research is shaping the future of Industry 5.0, where human-centric, AI-augmented systems empower workers rather than replace them. Their work is essential reading for anyone interested in the practical deployment of collaborative robots in modern manufacturing environments.
Research Focus
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