Papers
2
Total Citations
36
H-Index
2
About
Yongqiang Hu is a robotics researcher whose work bridges mechanical design and bio-inspired swarm intelligence. His most influential contribution is the design and optimization of a magnetic wheel for a grit-blasting robot intended for ship hull maintenance—a paper that has garnered 30 citations since 2015. This work addresses a critical industrial need: enabling robots to adhere to and navigate the curved steel surfaces of newly-built ships in dry docks, adapting to curvatures as steep as 0.833. By solving the adhesion and mobility challenges of grit-blasting operations, Hu’s research directly impacts shipbuilding automation and surface preparation efficiency. Beyond mechanical robotics, Hu explores novel paradigms for multi-agent systems. His 2020 study on swarm UAVs draws inspiration from the spatial distribution patterns of plant populations—a departure from typical animal-based swarm models. This paper, with 6 citations, proposes a target-searching algorithm for unmanned aerial vehicles operating in complex, unknown environments. By translating ecological principles into engineering solutions, Hu demonstrates a cross-disciplinary approach that expands the theoretical toolkit for swarm intelligence. Together, these works position him as a researcher who not only solves practical industrial problems but also advances the fundamental understanding of distributed robotic systems.
Research Focus
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Top Papers
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