Yunlai He

Papers

Total Citations

H-Index

About

Yunlai He’s research focuses on multi-agent systems (MAS) and task allocation, with a particular emphasis on improving coordination and efficiency in complex, real-world environments such as emergency rescue, traffic monitoring, and aviation. His most cited work, “The Research of Multi-Agent System Task Allocation Based on Auction” (2013), introduces an auction-based framework for dynamically assigning tasks among heterogeneous rescue robot teams. This contribution addresses a critical challenge in MAS: how to allocate tasks in the shortest possible time while accounting for agent diversity and environmental uncertainty. Although his citation count is modest—with this paper garnering 2 citations—the work reflects an early and practical application of market-based mechanisms to robotic coordination. He’s research is notable for its focus on isomerous (heterogeneous) agent teams, a realistic yet underexplored scenario in multi-agent task allocation. By bridging auction theory and MAS control, He provides a foundation for more adaptive and scalable rescue operations. His work continues to inspire researchers interested in decentralized coordination, especially in time-critical, safety-oriented domains.