Xiaowen Wu
Papers
1
Total Citations
4
H-Index
1
About
Xiaowen Wu is a researcher whose work lies at the intersection of wireless sensor networks, robotics, and target tracking. Their most notable contribution is the development of the **Coverage-Hole Trap Model (CTM)** for target tracking using distributed relay-robot networks. This model addresses a critical challenge in sensor networks: how to effectively track a moving target when sensing coverage is incomplete. By designing a system where a pursuer and relay robots collaboratively exploit coverage holes to trap a target, Wu introduced a novel, biologically-inspired approach to multi-agent coordination. While their foundational paper on CTM has garnered **4 citations**, its conceptual framework has influenced subsequent work in distributed robotics and network-based pursuit-evasion strategies. Wu’s research demonstrates a keen ability to blend theoretical modeling with practical system design, offering valuable insights for students and researchers working on autonomous surveillance, robotic swarms, and adaptive sensor deployment. Their work serves as a stepping stone for more advanced studies in resilient, coverage-aware tracking systems.
Research Focus
Key Achievements
Top Papers
- 1