Qingzhong Cai
Papers
2
Total Citations
25
H-Index
2
About
Qingzhong Cai is a leading researcher in cooperative robotics and autonomous navigation, with a focus on enabling resilient multi-robot systems in GPS-denied environments. His work addresses critical challenges in the Internet of Robotic Things (IoRT), particularly how aerial and ground robots can collaboratively localize and navigate when satellite signals are unavailable. Cai’s most-cited paper, “Autonomous Aerial–Ground Cooperative Navigation Based on Information-Seeking in GNSS-Denied Environments” (2023, 17 citations), introduces an innovative information-seeking navigation framework that allows heterogeneous robot teams to autonomously optimize their trajectories for maximum localization accuracy. His second highly cited work, “Distributed Scheduling for Cooperative Navigation Based on Uncertainty Evolution” (2022, 8 citations), tackles the critical issue of communication overhead in cooperative systems by developing a scheduling algorithm that minimizes data exchange while maintaining precise positioning. These contributions are foundational for practical IoRT applications, including search-and-rescue, environmental monitoring, and infrastructure inspection. Cai’s research is notable for bridging theoretical uncertainty modeling with real-time, scalable solutions, making him a key figure in the advancement of autonomous, communication-efficient robotic teams.
Research Focus
Key Achievements
Top Papers
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