Papers
7
Total Citations
382
H-Index
7
About
Guanhao Wu is a prominent researcher in bio-inspired robotics and aquatic biomechanics, with a specialized focus on robotic fish locomotion, hydrodynamics, and intelligent control systems. His work sits at the compelling intersection of biology and engineering, investigating how fish-like undulatory movement can be replicated and optimized in robotic platforms. Wu's most significant contributions center on developing novel experimental methodologies for studying self-propelled robotic fish. His 2013 paper on quantitative thrust efficiency — his most cited work with 121 citations — established rigorous experimental frameworks for measuring propulsive performance, a challenge that had largely eluded the field. Complementing this, his force-feedback control methods provided unprecedented means of investigating hydrodynamic behavior under realistic self-propelled conditions, bridging the gap between controlled laboratory experiments and real-world fish locomotion. His research extensively employs mackerel (*Scomber scombrus*) as a biological model, systematically exploring undulatory swimming modes including anguilliform, carangiform, and thunniform kinematics. His integration of fuzzy logic and analytical modeling techniques into robotic fish control further distinguishes his contributions. With over 380 cumulative citations across seven key publications, Wu's body of work has meaningfully advanced both our understanding of aquatic locomotion and the practical design of efficient bio-inspired underwater vehicles.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7