Papers
18
Total Citations
303
H-Index
10
About
Qiaogao Huang is a leading researcher in the field of bionic underwater robotics, with a particular focus on manta ray-inspired autonomous vehicles. His work sits at the compelling intersection of biology, hydrodynamics, and robotics engineering, where he has made significant contributions to the design, locomotion, and control of biomimetic underwater systems. Huang's research has advanced our understanding of pectoral fin mechanics, demonstrating how asymmetrical oscillating morphologies and flexible fin structures can dramatically enhance propulsion efficiency and maneuverability. His 2022 paper introducing an integrated gliding and flapping manta ray robot has garnered 52 citations, reflecting strong community recognition of its novelty. Across his portfolio, Huang has tackled critical challenges in autonomous underwater vehicle control, developing sophisticated approaches including Central Pattern Generator networks, T-S Fuzzy neural networks, and S-plane control schemes for precise depth and heading regulation. His similarity evaluation framework using Dynamic Time Warping further distinguishes his work by pushing bionic robots beyond functional mimicry toward genuine biological fidelity. With over 250 citations concentrated largely within a two-year span, Huang's research is rapidly shaping the future of efficient, agile underwater exploration technology.
Research Focus
Key Achievements
Top Papers
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- 4Course Control of a Manta Robot Based on Amplitude and Phase Differences32 citations · 2022
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- 7A New Type of Bionic Manta Ray Robot18 citations · 2020
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- 9Depth and Heading Control of a Manta Robot Based on S-Plane Control14 citations · 2022
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