About

Liwei Shi is a prominent robotics researcher whose work spans two transformative domains: bio-inspired amphibious and underwater robotics, and medical robotics for minimally invasive vascular intervention. His pioneering contributions to amphibious spherical robots — beginning with the turtle-inspired mother robot (2013, 75 citations) and evolving through successive generations including the hybrid locomotion ASR-III (2018, 72 citations) — have established foundational design principles for robots capable of seamlessly transitioning between terrestrial and aquatic environments. His hydrodynamic analyses and multi-sensor fusion localization systems (82 citations) address critical engineering challenges in GPS-denied underwater settings using cost-effective sensor configurations. Equally significant is Shi's work in surgical robotics. His research on vascular interventional robot systems incorporates CNN-based surgical state perception (88 citations), force feedback mechanisms (80 citations), and surgeon skill-based control strategies, collectively advancing the safety, precision, and teleoperation reliability of minimally invasive procedures. His multilevel operation safety framework (76 citations) reflects a sophisticated understanding of real-world clinical demands. With over 796 combined citations across his top ten works, Shi's research represents a compelling intersection of mechanical design, intelligent perception, and human-robot interaction that continues to shape next-generation autonomous and medical robotic systems.

Research Focus

Key Achievements

30
H-Index
91
Papers
2,277
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and experimental evaluation of an improved amphibious robot with compact structure
101 citations · 2017
📈 Most Prolific Year: 2019 (14 Papers)
🤝 Key Collaborators: 92
🏛 Institutions: Ministry of Industry and Information Technology, Beijing Institute of Technology, Kagawa University, Takamatsu University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 42 days ago