Any House Any Task: Scalable Long-Horizon Planning for Abstr
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Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: Any House Any Task: Scalable Long-Horizon Planning for Abstract Human Tasks. This research presents AHAT, a household task planner designed for long-horizon planning in large environments with ambiguous human instructions. AHAT uses an LLM to map task instructions and textual scene graphs into gr…
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- arXiv Robotics — research abstractsAny House Any Task: Scalable Long-Horizon Planning for Abstract Human Tasks
This research presents AHAT, a household task planner designed for long-horizon planning in large environments with ambiguous human instructions. AHAT uses an LLM to map task instructions and textual scene graphs into grounded subgoals, which are then solved through symbolic reasoning. The paper introduces TGPO, a reinforcement learning algorithm that integrates external correction of reasoning traces, leading to significant performance improvements over existing methods in human-style household tasks.
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