Donghao Li
Papers
2
Total Citations
14
H-Index
2
About
Donghao Li is a pioneering researcher at the intersection of bio-inspired robotics, fluid-structure interactions, and embodied intelligence. His work focuses on understanding how motor-controlled deformable structures interact with fluids to produce robust, efficient locomotion—with implications for both biology and engineering. Li’s most cited paper (2024, 9 citations) reveals how robot motor learning can spontaneously generate frequency-modulated, robust swimming that maintains an invariant Strouhal number, a hallmark of natural fish locomotion. This breakthrough demonstrates that complex swimming patterns emerge from the interplay between neuromuscular activations and fluid dynamics, rather than from explicit programming. Li also led the development of µBot 2.0 (2023, 5 citations), an autonomous modular swimming robot with onboard computing, sensing, and power. Its compact, modular design makes it an ideal platform for studying embodied traits in robotic systems and for testing disturbance rejection and path tracking algorithms. By bridging computational modeling, physical robotics, and biological principles, Li’s work is advancing our understanding of how intelligence can be embedded in physical systems—paving the way for more adaptive, resilient underwater robots.
Research Focus
Key Achievements
Top Papers
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- 2