MRTA-Benchmark dataset: 250K Optimal Multi-Robot Task Allocation Instances with Heterogeneous Robots, Precedence Constraints & Dynamic Coalitions
4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · bijgewerkt 8 juli 2025
Wat erin zit
This dataset contains 250,000 optimally solved Multi-Robot Task Assignment (MRTA) instances designed for benchmarking and training task allocation methods. Each instance features heterogeneous robots with varying skill sets, multi-skill tasks requiring tight/dynamic coalition formation, spatially distributed robot and task locations, and precedence constraints between tasks. The scenarios are generated with randomized configurations and solved optimally on the DelftBlue supercomputer using an exact MILP formulation.
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