HELP: Hierarchical Embodied Language Planner for Household Tasks
Published:Dec 25, 2025 15:54
•1 min read
•ArXiv
Analysis
This paper addresses the challenge of enabling embodied agents to perform complex household tasks by leveraging the power of Large Language Models (LLMs). The key contribution is the development of a hierarchical planning architecture (HELP) that decomposes complex tasks into subtasks, allowing LLMs to handle linguistic ambiguity and environmental interactions effectively. The focus on using open-source LLMs with fewer parameters is significant for practical deployment and accessibility.
Key Takeaways
Reference
“The paper proposes a Hierarchical Embodied Language Planner, called HELP, consisting of a set of LLM-based agents, each dedicated to solving a different subtask.”