Papers
8
Total Citations
239
H-Index
7
About
Zhiqiang Ma is a leading figure in bio-inspired sensing and underwater robotics, whose work draws direct inspiration from the mechanosensory systems of fish. His primary research focuses on the development of artificial lateral line (ALL) systems—sensor arrays that mimic the hydrodynamic pressure and flow detection capabilities of fish to give underwater vehicles a form of "touch at a distance." Ma’s major contributions include pioneering the fusion of pressure and flow velocity sensors for underwater source localization (63 citations), and the creation of flexible, "smart skin" canal systems for hydrodynamic pressure detection (53 citations). He has also advanced materials science by developing nanofiber-based sensors using P(VDF-TrFE)/BTO composites, enhancing sensitivity through drag-enhancing structures. His work extends to tactile and slip sensing for robotic manipulation, and his recent study on the head horn of eyeless cavefish (2024) offers a novel evolutionary insight into hydrodynamic perception. With over 200 citations across his most-cited works, Ma’s research is foundational for the next generation of autonomous underwater vehicles and soft robotics.
Research Focus
Key Achievements
Top Papers
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- 7Head Horn Enhances Hydrodynamic Perception in Eyeless Cavefish9 citations · 2024
- 8Coordination of droplets on light-actuated digital microfluidic systems5 citations · 2012