Qun Zong

Papers

Total Citations

100

H-Index

About

Qun Zong is a leading researcher in multi-agent systems, autonomous navigation, and adaptive control, whose work bridges theoretical rigor with real-world robotics applications. His most impactful contribution is in distributed pursuit-evasion strategies, where he developed real-time algorithms enabling multiple pursuers to cooperatively capture an evader while navigating both obstacle-free and cluttered environments. This work, published in 2021 and garnering 59 citations, introduces safe, collision-free control planning that is critical for swarm robotics and autonomous surveillance. Zong also advanced robust adaptive control through network-based event-triggered formulations, reducing communication overhead while maintaining system stability—a key achievement for resource-constrained autonomous systems. Additionally, his contributions to sensor fusion include a loosely-coupled lidar-inertial odometry and mapping method that achieves real-time performance, essential for drones and ground vehicles operating in GPS-denied environments. With over 100 total citations, Zong’s research has direct implications for defense, search-and-rescue, and autonomous transportation, establishing him as a pivotal figure in intelligent control and multi-robot coordination.