Haobo Xi

Papers

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About

Haobo Xi is a rising researcher in autonomous robotics, specializing in multi-robot coordination and high-speed aerial exploration. His work focuses on overcoming critical bottlenecks in unmanned aerial vehicle (UAV) systems: communication efficiency and motion speed utilization. In his highly cited 2024 paper, Xi introduced a novel approach using Voronoi partitions on dynamic topological graphs to enable fast, communication-efficient multi-UAV exploration. This method reduces redundant data transmission while optimizing task allocation, directly addressing the scalability challenges in swarm robotics. His 2025 work, HIGHSTAR, pushes the boundaries of online autonomous exploration by rethinking motion time cost evaluation, allowing UAVs to operate at significantly higher speeds without sacrificing computational efficiency. With over 17 combined citations in just two years, Xi’s contributions are already shaping next-generation exploration algorithms. His research is particularly notable for bridging theoretical graph-based planning with practical real-time constraints, making his work essential reading for students and engineers developing autonomous systems for search-and-rescue, environmental monitoring, or industrial inspection. Xi’s trajectory signals a promising future in intelligent aerial robotics.