Yiming Tang
Papers
1
Total Citations
3
H-Index
1
About
Yiming Tang is a pioneering researcher in autonomous robotics and multi-agent systems, with a focus on emergent group behavior and genetic control mechanisms. Their most cited work, "On emergence of group behavior in a genetically controlled autonomous agent system" (2002), introduces a novel framework where autonomous robots can dynamically adapt their sensory, behavioral, and learning capabilities through genetic algorithms to collectively accomplish complex tasks, such as surrounding target objects. This foundational contribution has garnered 3 citations and laid early groundwork for understanding how decentralized, genetically influenced decision-making can lead to coordinated group actions without centralized control. Tang's research bridges artificial intelligence, evolutionary robotics, and swarm intelligence, offering insights into how simple agents can self-organize into sophisticated collective behaviors. Their work is particularly notable for integrating genetic programming with real-time robotic adaptation, providing a blueprint for scalable, resilient multi-robot systems. Tang's contributions continue to inspire researchers exploring the intersection of evolution, learning, and autonomous coordination in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1