Yimin Fang
Papers
10
Total Citations
103
H-Index
6
About
Yimin Fang is a robotics researcher whose work centers on biomimetic underwater robotics, multi-agent coordination, and biologically inspired control systems. Operating primarily in the mid-2000s, Fang made significant contributions to the design and implementation of robotic fish and dolphin systems that replicate the fluid locomotion of aquatic animals. His most cited work, "Development of Multi-mode Biomimetic Robotic Fish Based on Central Pattern Generator" (2006, 49 citations), demonstrated how biological neural networks could drive rhythmic, three-dimensional swimming movements in robotic platforms — a landmark achievement bridging neuroscience and robotics. Complementing this, his optimized robotic dolphin design (2005, 17 citations) addressed the complex interplay between morphological and kinematic parameters governing underwater thrust and maneuverability. Fang also pioneered multi-robot coordination strategies, developing hierarchical control frameworks, behavior-based cooperation methods, and visual tracking systems that enabled groups of robotic fish to perform collaborative tasks such as box-pushing in cluttered underwater environments. Collectively accumulating over 100 citations, his body of work laid important groundwork for cooperative autonomous underwater vehicles and continues to inform researchers exploring bio-inspired locomotion and swarm robotics in aquatic settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optimized design and implementation of biomimetic robotic dolphin17 citations · 2005
- 3
- 4Visual Tracking of Multiple Robotic Fish for Cooperative Control6 citations · 2006
- 5Coordinating Dual-Mode Biomimetic Robotic Fish in Box-Pushing Task6 citations · 2005
- 6A coordination method for multiple biomimetic robotic fish box-pushing6 citations · 2006
- 7
- 8Coordinated Box-pushing of Multiple Biomimetic Robotic Fish3 citations · 2006
- 9Control and coordination of biomimetic robotic fish2 citations · 2005
- 10