Papers
12
Total Citations
122
H-Index
6
About
Tuong Quan Vo is a leading researcher in biomimetic underwater robotics, specializing in the design, optimization, and control of fish-inspired robots. His work centers on enhancing propulsion and maneuverability through innovative mechanical designs and intelligent algorithms. Vo’s most significant contribution is the development of a novel robotic fish propelled by flexible folding pectoral fins, which mimic biological rowing to dramatically increase thrust and swimming speed—a concept detailed in his most-cited paper (43 citations). He has also pioneered the use of hybrid optimization methods, such as combining genetic algorithms with hill climbing, to maximize propulsive velocity and achieve smooth, efficient gaits in multi-joint carangiform fish robots (over 25 citations). Beyond propulsion, Vo has advanced depth and turning motion control using fuzzy logic and sliding mode controllers, enabling precise autonomous navigation. His cumulative work, spanning over 100 citations, has established foundational principles for agile, energy-efficient underwater vehicles, with recent explorations into overhead transportation systems. Vo’s research bridges theoretical modeling and practical robotics, offering critical insights for students and engineers aiming to develop next-generation autonomous underwater vehicles.
Research Focus
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