HEART coordinates role-specialized LLM agents to decompose instructions, validate reachability and constraints, and synthesize executable robotic plans, showing higher success than single-LLM baselines on household tasks.
Challenges faced by large language models in solving multi-agent flocking,
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HEART: Coordination of Heterogeneous Expert Agents for Physically Grounded Robotic Task Planning
HEART coordinates role-specialized LLM agents to decompose instructions, validate reachability and constraints, and synthesize executable robotic plans, showing higher success than single-LLM baselines on household tasks.