Papers

19

Total Citations

241

H-Index

8

About

Guoyuan Li is a leading researcher in bio-inspired robotics, specializing in the design and control of robots that mimic the locomotion of aquatic and terrestrial animals. His major contributions lie in developing central pattern generator (CPG) models with sensory feedback, enabling adaptive and efficient movement in complex environments. Li’s work on biomimetic robotic fish, particularly inspired by the cownose ray and manta ray, has advanced applications in marine aquaculture, with his most cited papers (42 citations each) on bionic fish design and closed-loop CPG control. He has also pioneered caterpillar-like robots with asymmetric oscillation and reflex mechanisms for climbing and terrain adaptation, as well as snake-like robots for vision-based exploration. With over 200 total citations across his top ten papers, Li’s research bridges natural complexity and robotic simplification, earning recognition for projects like RoboSAPIENS, which focuses on safe adaptation in unprecedented situations. His work not only pushes the boundaries of biomimetic robotics but also offers practical solutions for environmental monitoring, manufacturing, and autonomous exploration.

Research Focus

Key Achievements

8
H-Index
19
Papers
241
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
From Natural Complexity to Biomimetic Simplification: The Realization of Bionic Fish Inspired by the Cownose Ray
42 citations · 2018
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 43
🏛 Institutions: Norwegian University of Science and Technology, Universität Hamburg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago