Xiaohui Bian
Papers
2
Total Citations
11
H-Index
2
About
Xiaohui Bian is a rising researcher in swarm robotics, specializing in multi-target search strategies for autonomous robot teams operating in complex, unknown environments. Their work addresses critical practical constraints—such as dynamic obstacles and nonconvex terrains—that limit real-world deployment of robotic swarms. Bian’s most-cited paper (2021, 9 citations) introduces a coordinated search algorithm that enables swarm robots to efficiently locate multiple targets while accounting for realistic limitations like communication range and energy consumption. A subsequent study (2023, 2 citations) extends this approach using triangular cone-based navigation in complex dynamic environments, enhancing robustness against nonconvex obstacles. Though early in their career, Bian’s contributions are gaining traction among researchers tackling the intersection of multi-agent coordination and constrained optimization. Their work lays foundational groundwork for applications in disaster response, environmental monitoring, and autonomous exploration, where reliable multi-target search under real-world conditions is critical. Bian’s focus on bridging theoretical algorithms with practical constraints positions them as a promising voice in advancing swarm intelligence toward operational readiness.
Research Focus
Key Achievements
Top Papers
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