Papers
5
Total Citations
34
H-Index
3
About
Lianyi Yu is a leading researcher in biomimetic underwater robotics, with a focus on developing robotic fish that replicate the agility and efficiency of marine life. His work spans key areas including multimodal locomotion, intelligent exploration, and transfer learning for autonomous swimming. Yu’s most cited paper, a 2024 review on recent advances in biomimetic robotic fish design, sensing, and autonomy (18 citations), provides a comprehensive framework for the field. He has made major contributions to hitch-hiking motion in multiple bionic robotic remoras (7 citations), enabling enhanced multimodal locomotion for long-distance underwater transport. Yu also pioneered a two-stage transfer learning method (5 citations) that allows robotic fish to learn swimming behaviors directly from real fish, significantly improving performance. His research on safe, intelligent underwater exploration (3 citations) addresses challenges in complex environments like coral reefs, while his work on 3-D fast-start posture control (1 citation) mimics pike hunting maneuvers for rapid evasion. Yu’s innovative approaches to modeling, planning, and control are advancing the autonomy and safety of biomimetic robots, with applications in ocean resource exploration and environmental monitoring.
Research Focus
Key Achievements
Top Papers
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