MAT-THOR

MAT-THOR is a benchmark dataset that contains multi-robot task planning scenarios used to evaluate the performance of planning systems in handling compound, complex, and vague tasks.

Papers using MAT-THOR (3)

LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner2024 · 1 citesKGLAMP: Knowledge Graph-guided Language model for Adaptive Multi-robot Planning and Replanning2026Hierarchical LLM-Based Multi-Agent Framework with Prompt Optimization for Multi-Robot Task Planning2026