Papers
1
Total Citations
13
H-Index
1
About
Xuan Xu is a researcher whose work lies at the intersection of swarm intelligence and environmental robotics, with a particular focus on multi-robot odor source localization. In their most cited work, "Research on Improved ACO Algorithm-Based Multi-Robot Odor Source Localization" (2018, 13 citations), Xu addresses a critical challenge in autonomous search and rescue: how teams of robots can efficiently locate chemical or odor sources in complex, dynamic environments. By proposing an improved Ant Colony Optimization (ACO) algorithm integrated with an upwind search strategy, Xu introduced a novel approach where robots with higher pheromone values are prioritized for upwind navigation, mimicking biological foraging behaviors to enhance search efficiency. This contribution is significant for its practical implications in hazardous material detection, environmental monitoring, and disaster response. While Xu’s citation count reflects a focused, emerging impact, the work demonstrates a thoughtful synthesis of bio-inspired computation and real-world robotic coordination, offering a scalable framework for future multi-agent systems. Xu’s research continues to inspire developments in intelligent robotics and decentralized decision-making.
Research Focus
Key Achievements
Top Papers
- 1