Xiaofu Zou
Papers
1
Total Citations
2
H-Index
1
About
Xiaofu Zou is a researcher in robotics and intelligent maintenance systems, with a focus on optimizing inspection and resource allocation in complex industrial environments. His work centers on developing path planning methods for multi-robot systems, particularly in the context of aero-engine fleet maintenance. Zou’s major contribution is a novel multi-robot formation reuse strategy that enhances inspection efficiency by allowing robots to be dynamically reassigned across tasks, reducing downtime and resource waste. His most-cited paper, "A path planning method for robot-aided aero-engine fleet inspection considering resource reuse strategy" (2022), introduces a two-level reuse framework that coordinates robot formations to deliver inspection resources effectively. While his citation count is still growing—with 2 citations to date—this work lays foundational groundwork for scalable, cost-effective automation in aerospace maintenance. Zou’s research is notable for its practical application to real-world fleet operations, bridging the gap between theoretical robotics and industrial needs. His contributions are particularly relevant for students and researchers interested in multi-robot coordination, resource optimization, and the future of autonomous inspection systems in high-stakes environments.
Research Focus
Key Achievements
Top Papers
- 1