About

Shaowu Pan is a multidisciplinary researcher whose work spans flexible electronics, neuromorphic sensing, and robotic systems, with particular distinction in the emerging field of electronic skin (e-skin) and bioinspired perception. His most impactful contributions lie at the intersection of materials science and artificial intelligence, where he has pioneered systems that replicate human sensory capabilities through stretchable and flexible electronics. His landmark 2020 paper on gesture recognition using a bioinspired architecture that fuses visual and somatosensory data from stretchable sensors has garnered over 535 citations, while his work on artificial skin perception and artificial sensory neurons with tactile perceptual learning have collectively accumulated nearly 900 citations, establishing him as a leading voice in the field. Pan has also made notable advances in stretchable strain sensors and pangolin-inspired microwave-invisible metastructures, reflecting a creative, nature-inspired design philosophy. Earlier in his career, he contributed substantially to amphibious spherical robotics, developing real-time visual tracking and structural analysis systems. With total citations exceeding 2,000 across diverse domains, Pan's research consistently bridges cutting-edge materials innovation with practical robotic and bioelectronic applications.

Research Focus

Key Achievements

14
H-Index
26
Papers
2,102
Total Citations
81
Avg Citations/Paper
🏆 Most Cited Paper
Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors
535 citations · 2020
📈 Most Prolific Year: 2017 (8 Papers)
🤝 Key Collaborators: 55
🏛 Institutions: Nanyang Technological University, Ministry of Industry and Information Technology, Beijing Institute of Technology

Top Papers

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    Artificial Skin Perception
    444 citations · 2020
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago