H-AIM is a novel framework that integrates Large Language Models (LLMs), PDDL planning, and Behavior Trees to enable heterogeneous robot teams to perform complex, long-horizon tasks from high-level instructions. It significantly improves task success rates and collaborative robustness in multi-robot planning.