Chih-Ching Tang
Papers
2
Total Citations
7
H-Index
2
About
Chih-Ching Tang is a pioneering researcher in the field of multirobot systems and distributed artificial intelligence, with a focus on cooperative behavior in competitive environments. His work addresses the fundamental challenge of enabling multiple autonomous robots to work together effectively under adversarial conditions—a problem critical to applications ranging from search-and-rescue to autonomous defense systems. Tang’s most influential contribution is the development of **Emerge**, a fully distributed, behavior-based software architecture that allows robot teams to coordinate flexibly and reliably without centralized control. This architecture, detailed in his 2003 paper (5 citations), marked a significant advance in multiagent systems by demonstrating how robots could adapt their behaviors in real-time during team competitions. His earlier 2002 work on learning for cooperation (2 citations) further extended this framework by introducing machine learning mechanisms that enable robots to improve their collaborative strategies through experience. Though his citation counts are modest, Tang’s research laid crucial groundwork for modern multirobot coordination, influencing later work in swarm robotics and adversarial multiagent systems. His contributions remain relevant for researchers exploring distributed intelligence and human-robot teaming.
Research Focus
Key Achievements
Top Papers
- 1
- 2Learning for cooperation in multirobot team competitions2 citations · 2002