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English(EN) What to Attend, What to Keep: Skill-Conditioned Visuotactile Representation with Progress-Guided Event Memory

机器人操作通过技能条件视觉触觉表示取得进展

研究人员开发了一种新的机器人操作技能条件表示,可以更好地整合视觉和触觉模态。该方法根据正在执行的具体技能动态调整传感器数据的融合方式,同时参考过去技能执行的记忆。在接触密集型任务上的评估表明,通过利用这种自适应融合和事件记忆,在检测滑动和完成扭转方面取得了显著改进,并减少了盲搜任务中的错误。 AI

排序理由 关于机器人操作新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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

机器人操作通过技能条件视觉触觉表示取得进展

本文如何被排名

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21 / 100
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关于机器人操作新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
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High
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Breaking (< 6h)
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Amir-Hossein Shahidzadeh, Seungjae Lee, Eadom Dessalene, Shanthosh Raaj Mohanram Mageswari, Soroush Etemad, Furong Huang, Cornelia Ferm\"uller, Yiannis Aloimonos ·

    何去何从:具有进度引导事件记忆的技能条件视觉触觉表示

    arXiv:2609.38494v1 Announce Type: cross Abstract: Robotic manipulation integrates vision, touch, and language, whose importance shifts across stages: vision guides reaching, while touch, through its evolution over time, decides grasping, alignment, and contact. Yet existing multi…