Papers
1
Total Citations
6
H-Index
1
About
Guohao He is a researcher in multi-robot systems and distributed artificial intelligence, with a focus on self-organizing cooperative control and pursuit-evasion strategies. His most notable contribution is the development of an improved Voronoi graph-based self-organizing cooperative pursuit algorithm, which addresses critical inefficiencies in traditional distributed methods for capturing random targets. By selecting the nearest midpoint of common edges, He’s algorithm significantly enhances capture efficiency and reduces standard deviation in multi-robot hunting scenarios, offering a more robust and scalable solution for dynamic environments. This work, published in 2020 and cited 6 times, has laid important groundwork for advancing autonomous swarm coordination. He’s research has practical implications for applications such as robotic surveillance, search-and-rescue operations, and autonomous defense systems, where efficient, decentralized decision-making is essential. His achievements demonstrate a strong commitment to solving complex coordination problems in robotics, making him a promising contributor to the field of multi-agent systems.
Research Focus
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- 1