Papers
6
Total Citations
15
H-Index
3
About
Fagang Bai is a leading researcher in biomimetic underwater robotics, specializing in the hydrodynamics, control, and design of fish-like robots for complex marine environments. His work bridges the gap between bio-inspired propulsion and practical deep-sea exploration, addressing critical challenges in maneuverability and stability near the sea bottom and in constrained spaces. Bai’s major contributions include pioneering studies on the effects of attack angles and complex terrain on swimming performance, as well as the development of hybrid-driven robotic fish that combine the efficiency of biomimetic fins with the maneuverability of propellers. His research on disturbance-observer-based inverse sliding mode control offers robust solutions for trajectory tracking in offshore environments. With papers accumulating citations in the single digits but growing rapidly—including four citations each for his 2023 works on near-surface and deep-sea hydrodynamics—Bai’s impact is emerging. Notable achievements include his 2025 studies on waypoint-based path following and hybrid actuator control, which advance autonomous navigation. His work is essential for students and researchers interested in bio-inspired design, underwater robotics, and control systems for challenging aquatic settings.
Research Focus
Key Achievements
Top Papers
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- 3Waypoint-based path following for robotic fish with hybrid actuators3 citations · 2025
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