Minyi Li
Papers
1
Total Citations
12
H-Index
1
About
Minyi Li is a researcher focused on multi-robot systems, game theory, and distributed coordination, with particular expertise in heterogeneous task allocation. Their most cited work, "Distributed Near-optimal Multi-robots Coordination in Heterogeneous Task Allocation" (2020, 12 citations), addresses a fundamental challenge in robotics: how to coordinate diverse robots with different capabilities to efficiently complete complex tasks. Li's key contribution lies in formulating the heterogeneous task allocation problem through a game-theoretic lens, aligning individual robot objectives with overall system goals. By applying the concept of Nash equilibrium, Li provides a mathematically rigorous framework for achieving near-optimal, distributed coordination without requiring centralized control. This approach is particularly valuable for real-world applications such as warehouse automation, search-and-rescue missions, and environmental monitoring, where robots must adapt to dynamic conditions. Li's work bridges theoretical game theory and practical multi-robot coordination, offering scalable solutions that maintain performance guarantees. With growing interest in autonomous systems, Li's research continues to influence the development of intelligent, decentralized robotic teams capable of tackling increasingly complex collaborative tasks.
Research Focus
Key Achievements
Top Papers
- 1