Papers
2
Total Citations
24
H-Index
2
About
Hao Fang is a researcher specializing in multi-robot systems, cooperative control, and autonomous coordination algorithms. His work sits at the intersection of artificial intelligence and robotics, with a particular focus on developing practical frameworks that enable groups of robots to work together effectively in dynamic environments. Fang's most recognized contribution lies in the domain of task allocation for cooperative robotic systems. His 2008 paper introduced an improved auction algorithm within the contract net protocol framework, addressing a critical limitation of conventional approaches — their inability to handle moving targets efficiently. This work, which has garnered 17 citations, offered a more adaptive solution for real-world multi-robot hunting and pursuit scenarios. Building on this foundation, Fang extended his research into the theoretical analysis of flocking behavior, examining how nonholonomic multi-robot systems can maintain connectivity on directed graphs. His 2014 work contributed bounded and smooth distributed control protocols leveraging artificial potential functions, advancing the mathematical rigor behind cooperative motion planning. Collectively, Fang's research addresses both practical and theoretical challenges in robotics, making meaningful contributions to how autonomous systems coordinate, communicate, and adapt — laying groundwork valuable to researchers developing next-generation swarm robotics and distributed autonomous systems.
Research Focus
Key Achievements
Top Papers
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