Hu Qiuxia
Papers
1
Total Citations
2
H-Index
1
About
Hu Qiuxia’s research advances the frontier of multi-robot cooperation, with a focus on Unmanned Air/Ground Vehicle (UAV/UGV) systems operating in complex environments. Her most-cited work, “Target searching and global path planning in UAV/UGV cooperative systems” (2019), addresses a critical challenge: enabling a single robot to perform tasks in difficult terrain by leveraging the complementary strengths of aerial and ground platforms. In this study, she proposed a framework where a UAV identifies targets and then guides a UGV through global path planning, significantly improving system efficiency and autonomy. This contribution has garnered 2 citations, marking early recognition in the field. Her research integrates computer vision, path optimization, and cooperative control, laying groundwork for applications in search-and-rescue, surveillance, and autonomous logistics. Hu’s work underscores the importance of heterogeneous robot teams in overcoming environmental constraints, and her findings offer practical algorithms for real-world deployment. As a researcher, she continues to explore how UAV-UGV synergy can be refined for more adaptive, intelligent, and resilient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Target searching and global path planning in UAV/UGV cooperative systems2 citations · 2019