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arXiv cs.AI·

TaskGround: Structured Executable Task Inference for Full-Scene Household Reasoning

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In three linesTaskGround is a task-inference framework for household agents operating on complete scenes. It structures reasoning in three steps: grounding (extracting relevant context), inference (executable structure), execution (action sequences). Evaluated on FullHome (400 tasks), it improves success rates and makes Qwen3.5-9B competitive with GPT-4 while reducing token costs by 18x.
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AI AgentsReasoningRoboticsPapersQwen

Summary generated by Claude — human-verified