This research introduces a novel mission-planning framework for heterogeneous robot teams that optimizes task allocation based on each robot's unique capabilities and constraints.

• Employs LLMs to construct hierarchical task trees that break complex missions into manageable sub-tasks
• Develops specialized APIs and tools for efficient mission decomposition
• Accounts for different robot capabilities to optimize task distribution
• Creates a scalable approach for coordinating diverse robot teams in complex environments

This innovation enables more efficient deployment of robotic systems across engineering applications including aerospace, factory automation, and security operations, potentially reducing operational costs while improving mission success rates.

Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-constructed Hierarchical Trees