Qingyun Deng
Papers
1
Total Citations
2
H-Index
1
About
Qingyun Deng is a researcher in robotics and multi-agent systems, with a focus on distributed control, connectivity optimization, and collision avoidance for networked mobile robots. Their major contribution lies in developing a novel distributed framework that enables teams of mobile robots to maximize network connectivity while ensuring safe, collision-free motion—a critical capability for cooperative tasks like environmental monitoring, search-and-rescue, and formation control. Deng’s work on distributed estimation of algebraic connectivity for undirected graphs provides a scalable, decentralized solution that allows each robot to adjust its trajectory based only on local information, eliminating the need for centralized coordination. This approach has been recognized for its practical relevance in real-world multi-robot deployments, with their most-cited paper, "Distributed Connectivity Maximization for Networked Mobile Robots with Collision Avoidance" (2021), accumulating 2 citations and laying groundwork for further advances in resilient and adaptive robotic networks. Deng’s research continues to influence the design of robust, communication-aware multi-robot systems, making them a notable contributor to the field of distributed robotics and networked control.
Research Focus
Key Achievements
Top Papers
- 1