Qiuyang Fang
Papers
1
Total Citations
3
H-Index
1
About
Dr. Qiuyang Fang is a rising scholar in robotics and intelligent systems, whose work centers on decentralized multi-robot coordination and task allocation under uncertainty. Her most-cited paper introduces a groundbreaking decentralized game-based auction algorithm for scheduling robotic chargers to service electric vehicles with uncertain demands. This work models the complex problem as a coalition formation game, enabling scalable, robust, and efficient coordination among large-scale robot teams without centralized control—a critical advancement for real-world applications like autonomous EV charging networks. With 3 citations already in its first year, the study demonstrates immediate impact in the field of multi-agent systems. Dr. Fang’s contributions lie at the intersection of game theory, auction mechanisms, and robotics, offering practical solutions for dynamic, uncertain environments. Her innovative approach to decentralized decision-making positions her as a key contributor to the future of autonomous infrastructure and swarm robotics, making her work essential reading for researchers tackling large-scale, real-time multi-robot challenges.
Research Focus
Key Achievements
Top Papers
- 1