Papers
11
Total Citations
132
H-Index
8
About
Zhuoliang Zhang is a leading researcher in bio-inspired robotics, specializing in the design, modeling, and control of robotic fish. His work focuses on three key areas: optimizing swimming performance through flexible mechanisms, developing artificial lateral line (ALL) sensors for underwater perception, and advancing autonomous navigation in dark environments. Zhang’s major contributions include a wire-driven elastic robotic fish with CPG-based control, a fast online stiffness-adjusting mechanism for fishlike swimming, and a structured light-based system for collision-free navigation and dense mapping. His research on ALL sensors has enabled real-time velocity vector resolution and turbulence noise suppression, addressing critical challenges in underwater speed measurement. With over 130 citations across his top ten papers, including 32 citations for his work on swimming speed optimization, Zhang’s impact is evident. Notable achievements include the development of a damping-elastic composite mechanism for propulsive performance evaluation and a discrete vortex method for fish-like locomotion modeling. His innovative approaches to passive flexibility and elastic mechanisms have significantly advanced the efficiency and autonomy of robotic fish, making him a prominent figure in the field of biomimetic underwater robotics.
Research Focus
Key Achievements
Top Papers
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- 3A Wire-driven Elastic Robotic Fish and its Design and CPG-Based Control14 citations · 2022
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- 8Discrete Vortex Method-Based Fish-Like Locomotion Modeling8 citations · 2024
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