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One Scan is Enough: Demonstration-Free Adaptation for Language-Guided Navigation

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This research proposes a method to adapt language-guided navigation policies without human demonstrations, using a single iPhone scan to create a training environment. The approach, called Scan2Instruction, synthesizes navigation episodes with grounded instructions and adapts policies through a closed-form Pareto utility. It achieves an 85% real-robot success rate across five real environments, outperforming baselines trained on human demonstrations.

From arXiv Robotics — research abstracts

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  • 2026-10-30T19:49:32.004Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
  • 2026-10-30T19:49:26.081Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.

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10/27
  1. arXiv Robotics — research abstractsSignal
    One Scan is Enough: Demonstration-Free Adaptation for Language-Guided Navigation

    This research proposes a method to adapt language-guided navigation policies without human demonstrations, using a single iPhone scan to create a training environment. The approach, called Scan2Instruction, synthesizes navigation episodes with grounded instructions and adapts policies through a closed-form Pareto utility. It achieves an 85% real-robot success rate across five real environments, outperforming baselines trained on human demonstrations.

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