Shuqi Dong
Papers
1
Total Citations
2
H-Index
1
About
Shuqi Dong’s research lies at the intersection of swarm robotics and control theory, with a particular focus on how collective robotic behaviors can be harnessed to manipulate larger, parent systems. In their most-cited work, “Using abstraction for swarm control of a parent system” (2016), Dong introduced a novel framework that abstracts the complex dynamics of a robot swarm into a manageable control input for a parent system—such as a mobile platform or manipulator—that the swarm collectively influences. This approach enables scalable, decentralized coordination without requiring explicit communication among robots, opening new possibilities for applications in environmental exploration, object manipulation, and aerial robotics. While the paper has garnered 2 citations, its conceptual contribution to abstraction-based swarm control is notable for bridging micro-level robot actions with macro-level system behavior. Dong’s work is particularly valuable for researchers seeking to design robust, minimalist control strategies for multi-robot systems operating under real-world constraints. Their research continues to inspire further exploration into hierarchical swarm architectures and the theoretical foundations of emergent collective intelligence.
Research Focus
Key Achievements
Top Papers
- 1Using abstraction for swarm control of a parent system2 citations · 2016