About

Shaolong Kuang is a multidisciplinary robotics researcher whose work spans medical robotics, smart materials, and intelligent control systems. He is perhaps best recognized for his pioneering contributions to liquid metal robotics, with his highly cited studies on magnetically and electrically controllable liquid metal droplets (90 citations) and liquid metal droplet robots (83 citations) establishing gallium-based alloys as a transformative platform for soft, reconfigurable robotic systems. His precise modeling and motion control frameworks for liquid metal in fluidic channels further advanced the practical deployment of these materials. Beyond soft robotics, Kuang has made significant contributions to surgical and medical robotics, developing continuum robots for neurosurgery, passive/active hybrid systems for orthopaedic trauma procedures, and task-autonomous robots capable of both incision stapling and staple removal. His research into respiratory motion prediction using bidirectional gated recurrent networks (37 citations) demonstrates a strong command of machine learning applied to robotic radiosurgery. He has also advanced robot structural design through topology optimization methods that minimize weight without sacrificing performance. With his work consistently addressing real clinical challenges — from fracture reduction to intelligent human-robot cooperation in operating theaters — Kuang's research portfolio reflects a sustained commitment to translating cutting-edge robotics into meaningful medical applications.

Research Focus

Key Achievements

13
H-Index
36
Papers
529
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Magnetically‐ and Electrically‐Controllable Functional Liquid Metal Droplets
90 citations · 2019
📈 Most Prolific Year: 2018 (7 Papers)
🤝 Key Collaborators: 134
🏛 Institutions: Soochow University, Chinese University of Hong Kong, Shenzhen Technology University, Shandong Institute of Business and Technology, Carnegie Mellon University, Capital Medical University

Top Papers

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    Liquid metal droplet robot
    83 citations · 2020
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago