Papers

3

Total Citations

62

H-Index

2

About

Liao Li is a rising force in the field of bio-inspired robotics, with a research focus that bridges underwater biomimetic systems, soft actuation, and advanced tactile sensing. Her most cited work, a comprehensive 2023 review on underwater bionic robots (49 citations), surveys cutting-edge control technologies inspired by fish locomotion, laying the groundwork for next-generation autonomous underwater vehicles. Li’s contributions extend to robotic perception through her development of a four-capacitor tactile sensor featuring a bump structure and a compensating method to reduce inertial interference (11 citations), a design that enhances robots’ ability to sense physical contact in dynamic environments. In a forward-looking 2026 study, she introduced a lattice-reinforced shape memory alloy actuator for underwater soft robots, achieving improved recovery performance—a key step toward more agile and durable soft robotic systems. With a growing citation impact and a portfolio that spans from foundational reviews to novel hardware, Li is establishing herself as a versatile innovator in robotics, particularly at the intersection of bio-inspiration and practical engineering for aquatic applications.

Research Focus

Key Achievements

2
H-Index
3
Papers
62
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Review of research and control technology of underwater bionic robots
49 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Ocean University of China, Hangzhou Dianzi University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago