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English(EN) TRIAGE: Efficient Vision-Language-Action Inference Needs Both Reuse and Pruning

TRIAGE 方法提升机器人操作 VLA 模型效率

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种新颖的方法 TRIAGE，以提高用于机器人操作的视觉-语言-动作 (VLA) 模型的效率。这些模型将视觉输入和语言指令转化为机器人动作，通常运行在资源受限的嵌入式板上。TRIAGE 通过智能地决定是重用缓存数据还是根据标记漂移来剪枝标记，从而解决了预填充延迟问题，其性能优于现有方法。这种方法在 NVIDIA Jetson AGX Orin 等硬件上显著降低了预填充延迟，同时保持了机器人任务的高成功率。 AI

影响 增强了具身人工智能应用中 VLA 模型的实时性能。

排序理由 关于 AI 模型效率新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

TRIAGE 方法提升机器人操作 VLA 模型效率

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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sooyoung Kwon, Carlee Joe-Wong, Kyunghan Lee ·

    TRIAGE：高效的视觉-语言-动作推理需要重用和剪枝

    arXiv:2610.34519v1 Announce Type: cross Abstract: Vision-language-action (VLA) models are increasingly used for robot manipulation because they map camera images and a language instruction directly to actions. Robots that cannot be tethered to a workstation, such as mobile manipu…

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