Ming-Rui Fei
Papers
1
Total Citations
3
H-Index
1
About
Ming-Rui Fei is a researcher whose work lies at the intersection of distributed artificial intelligence, multi-agent systems, and machine learning, with a particular focus on real-time robotic coordination. His most-cited paper, "MAS collaboration and machine learning method for robot soccer" (2003), presents a foundational study on distributed AI by designing an offline learning method and a multi-agent collaboration protocol deployed in a robot soccer environment. This work was validated through participation in the China Robot Competition 2002, demonstrating the practical efficiency of his approach in a competitive, dynamic setting. Although his citation count is modest, Fei’s contributions are notable for bridging theoretical multi-agent collaboration with applied robotics, offering early insights into how machine learning can enhance team coordination among autonomous agents. His research remains relevant for students and researchers exploring decentralized control, cooperative learning, and the integration of AI in physical systems, particularly in domains requiring real-time decision-making and adaptability.
Research Focus
Key Achievements
Top Papers
- 1MAS collaboration and machine learning method for robot soccer3 citations · 2003