Xiaoning Shan
Papers
2
Total Citations
8
H-Index
2
About
Xiaoning Shan’s research lies at the intersection of multi-robot systems, sensor networks, and autonomous coordination in constrained environments. Her major contributions focus on developing architectures that enable seamless collaboration between static sensor networks and mobile robots for dynamic target tracking and interception. In her most-cited work (2006, 5 citations), she introduced a multi-robot coordination framework where a sensor network continuously tracks elusive targets and intelligently selects robots to intercept them, navigating the robots through complex, constrained spaces. A companion paper (2006, 3 citations) further refined this approach for environments with physical limitations, demonstrating robust spatiotemporal coordination. Though early in her career, Shan’s work laid foundational concepts for integrating distributed sensing with robotic action—a key challenge in modern autonomous systems. Her research has implications for search-and-rescue, surveillance, and industrial automation, where real-time, decentralized decision-making is critical. By bridging the gap between sensing and actuation, Shan has contributed to the growing field of cyber-physical systems, offering scalable solutions for coordinated autonomous behavior in unpredictable settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2