Punyaphat Sukcharoenchaikul

Open-World Planning via Lifted Regression with LLM-Inferred Affordances for Embodied Agents

Open-world planning with incomplete knowledge is crucial for real-world embodied AI tasks. Despite that, existing LLM-based planners struggle with long chains of sequential reasoning, while symbolic planners face combinatorial explosion of states and actions for complex domains due to reliance on gr…