Papers
1
Total Citations
9
H-Index
1
About
Hao Yue is a leading researcher in multiple mobile robot systems (MMRSs), with a focus on collision avoidance and coordination in complex, heterogeneous environments. His most cited work, "Collision Avoidance and Give Way of Heterogeneous and Variable-Sized Multiple Mobile Robots Based on Glued Nodes" (2023, 9 citations), addresses a critical challenge in robotics: enabling safe navigation for robots of varying sizes and capabilities in shared spaces like workshops and warehouses. Yue’s innovative "glued nodes" approach extends traditional zone-controlled methods, allowing for dynamic, real-time adjustments that prevent collisions while maintaining efficiency. This contribution is particularly impactful for industrial automation, where flexible, scalable robot fleets are essential. By tackling the underexplored problem of variable-sized robots, Yue has advanced the practical deployment of MMRSs, earning recognition for bridging theoretical algorithms with real-world applications. His work continues to influence the design of safer, more adaptive robotic systems, making him a notable figure in the field of multi-robot coordination.
Research Focus
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Top Papers
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