Yujin Tang
Papers
1
Total Citations
4
H-Index
1
About
Yujin Tang’s research lies at the intersection of collective intelligence, swarm robotics, and decentralized manipulation, with a focus on how simple agents can achieve complex, adaptive behaviors without centralized control. Their most-cited work, “Collective Intelligence for 2D Push Manipulations With Mobile Robots” (2023, 4 citations), explores how mobile robots can self-organize to cooperatively push and manipulate objects in two-dimensional space—a task that mirrors natural systems like ant colonies or flocking birds. Tang demonstrates that by leveraging local sensing and minimal communication, a group of robots can exhibit emergent coordination, adapting to environmental changes in real time. This contribution is significant because it challenges the prevailing reliance on centralized planning in robotics, offering a scalable and robust alternative for tasks like warehouse logistics or search-and-rescue operations. Though early in their career, Tang’s work has already sparked interest among researchers in embodied intelligence and multi-agent systems, and their findings are paving the way for more resilient, nature-inspired robotic collectives.
Research Focus
Key Achievements
Top Papers
- 1Collective Intelligence for 2D Push Manipulations With Mobile Robots4 citations · 2023