Fang Tang
Papers
2
Total Citations
301
H-Index
2
About
Fang Tang is a leading researcher in multirobot systems, with a focus on automated task synthesis and heterogeneous team coordination. Her pioneering work centers on enabling groups of diverse robots to dynamically form coalitions and solve complex tasks through tightly coupled sensor sharing and software reconfiguration. Tang’s most influential contribution is the ASyMTRe (Automated Synthesis of Multi-Robot Task Solutions through Software Reconfiguration) framework, which revolutionizes how robot teams operate by automatically generating task solutions without requiring manual predefinition of team roles or behaviors. Her landmark paper, “Building Multirobot Coalitions Through Automated Task Solution Synthesis” (2006), has garnered 189 citations, while its companion work, “ASyMTRe: Automated Synthesis of Multi-Robot Task Solutions through Software Reconfiguration” (2006), has earned 112 citations. These highly cited publications demonstrate her significant impact on the field, providing foundational methods that allow heterogeneous robots to adapt their sensor and motor schemas in real time. Tang’s research has advanced the practical deployment of multirobot systems in dynamic environments, making her a key figure in autonomous robotics and multiagent coordination.
Research Focus
Key Achievements
Top Papers
- 1Building Multirobot Coalitions Through Automated Task Solution Synthesis189 citations · 2006
- 2