This paper explores interleaved vision-language reasoning traces for complex robotic manipulation tasks. The approach combines textual and visual reasoning modalities to enable robots to handle long-horizon manipulation.
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Thinking in Text and Images: Interleaved Vision--Language Reasoning Traces for Long-Horizon Robot Manipulation
Robots can better handle complex, multi-step manipulation tasks by reasoning aloud through interleaved text and visual traces, combining planning and perception to improve robustness.
Monday, May 4, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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