Papers
6
Total Citations
88
H-Index
4
About
Daili Zhang is a leading researcher in biomimetic underwater robotics, with a primary focus on the design, modeling, and control of manta-ray-inspired robots. Their work bridges biology and engineering to create highly efficient, maneuverable autonomous underwater vehicles (AUVs) capable of both gliding and flapping propulsion. Zhang’s most notable contribution is the development of a novel integrated gliding and flapping propulsion biomimetic manta-ray robot (2022, 52 citations), which set a benchmark for bio-inspired underwater locomotion. They have also advanced precision attitude control through S-plane control methods (2022, 14 citations) and explored intelligent control strategies, including CPG network optimization via particle swarm optimization (2022, 8 citations), T-S fuzzy neural networks (2022, 2 citations), and reinforcement learning for depth control (2023, 2 citations). Their recent work on three-dimensional modeling of bionic robotic fish with pectoral fins (2025, 10 citations) further extends their impact. With over 88 total citations across their top papers, Zhang’s research is foundational for high-precision, adaptive underwater robots used in environmental monitoring and marine surveys.
Research Focus
Key Achievements
Top Papers
- 1
- 2Depth and Heading Control of a Manta Robot Based on S-Plane Control14 citations · 2022
- 3
- 4Parameter Optimization of CPG Network Based on PSO for Manta Ray Robot8 citations · 2022
- 5Control of Robotic Manta Based on T-S Fuzzy Neural Network2 citations · 2022
- 6Depth Control of a Biomimetic Manta Robot via Reinforcement Learning2 citations · 2023