Papers
10
Total Citations
177
H-Index
7
About
Shuaizheng Yan is a robotics researcher specializing in biomimetic underwater robotics, autonomous control, and intelligent navigation systems. His work focuses on developing bio-inspired robotic fish and marine robots capable of sophisticated locomotion, autonomous exploration, and real-world operation in complex underwater environments. Yan's most influential contributions include an optimization-based cooperative structured control framework for multi-joint robotic fish (41 citations) and a hierarchical path planning and following framework for a gliding robotic dolphin (41 citations), both of which represent significant advances in underwater robot autonomy. His 2022 work on real-world deep reinforcement learning for a biomimetic robotic shark (27 citations) tackled critical challenges in data efficiency and sampling quality for autonomous exploration. Notably, he has pioneered multi-sensor fusion approaches, including tightly coupled visual-acoustic and visual-DVL methods, substantially improving underwater localization accuracy. His 2023 work on a biomimetic hammerhead shark demonstrated remarkable insight by replicating the animal's distinctive rolled swimming motion to counteract negative buoyancy. His 2024 comprehensive review of biomimetic robotic fish design, sensing, and autonomy (18 citations) underscores his broad command of the field. Across his body of work, Yan has accumulated over 175 citations, establishing himself as a rising voice in marine robotics and bio-inspired autonomous systems.
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