2025
Heterogeneous Multi-robot Task Allocation and Scheduling via Reinforcement Learning
RA-L 2025
Many multi-robot applications require allocating a team of heterogeneous agents (robots) with different abilities to cooperatively complete a given set of spatially distributed tasks as quickly as possible. We focus on tasks that can only be initiated when all required agents are present otherwise a