Papers

36

Total Citations

697

H-Index

15

About

Yueri Cai is a robotics researcher whose work sits at the intersection of biomimetic engineering, underwater robotics, and autonomous navigation systems. Best known for pioneering the development of cownose ray-inspired robotic fish, Cai has spent over a decade translating the elegant hydrodynamics of batoid locomotion into functional underwater vehicles. His foundational 2010 paper on robotic fish imitating the cow-nosed ray (87 citations) launched a sustained research program exploring how oscillating pectoral fins can achieve efficient, maneuverable propulsion — work refined across numerous studies examining flexible fin design, chordwise twisting, tri-dimensional soft fins, and central pattern generator-based control (collectively accumulating hundreds of citations). His 2012 and 2018 contributions further advanced bionic fish design optimization and conceptual frameworks for biomimetic simplification. Beyond underwater robotics, Cai made a notable contribution to mobile robotics with DRE-SLAM (2019, 67 citations), a dynamic RGB-D encoder SLAM system addressing the critical challenge of localization in real-world non-static environments. With a citation record spanning foundational design, control algorithms, and autonomous navigation, Cai's research has meaningfully shaped both the theory and practice of biologically inspired robotic systems.

Research Focus

Key Achievements

15
H-Index
36
Papers
697
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Design and Experiments of a Robotic Fish Imitating Cow-Nosed Ray
87 citations · 2010
📈 Most Prolific Year: 2022 (6 Papers)
🤝 Key Collaborators: 63
🏛 Institutions: Beihang University, Carnegie Mellon University, Aerospace Information Research Institute, Peking University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago