About

Xinyu Wu is a prolific robotics researcher whose work spans soft robotics, medical robotics, wearable exoskeletons, and agricultural sensing — fields where engineering innovation meets real-world human impact. Wu has made landmark contributions to magnetically actuated millirobots and microrobots, developing systems capable of reconfiguration, camouflage, color-shifting, and multimodal locomotion that draw inspiration from biological organisms (252 and 128 citations respectively). His work on independent control strategies for multiple magnetic millirobots (199 citations) has advanced the frontier of cooperative small-scale robotic systems for confined and remote environments, with compelling implications for minimally invasive medicine — further exemplified by his magnetically controlled guidewire robot for vascular surgery (88 citations). Wu has equally distinguished himself in exoskeleton research, authoring a widely read academic review of robotic exoskeletons (136 citations) and pioneering human-in-the-loop control frameworks and individualized gait generation for lower-limb assistive devices (132 and 111 citations). His vision-assisted exoskeleton work and early tactile sensing research further demonstrate exceptional breadth. Wu's contributions to deep learning in agricultural sensing (232 citations) underscore a rare versatility, making him a defining voice across multiple transformative robotics disciplines.

Research Focus

Key Achievements

34
H-Index
206
Papers
4,325
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Reconfiguration, Camouflage, and Color‐Shifting for Bioinspired Adaptive Hydrogel‐Based Millirobots
252 citations · 2020
📈 Most Prolific Year: 2024 (29 Papers)
🤝 Key Collaborators: 452
🏛 Institutions: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, State Key Laboratory of Tribology, Chinese University of Hong Kong, Shenzhen Academy of Robotics, Chinese University of Hong Kong, Shenzhen

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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