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English(EN) Damage Adaptation in Seconds for Architected Materials

新的LEAP方法使软体机器人能够在数秒内适应损伤

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种名为LEAP（Learned Ensemble Adaptation Proprioception，学习集成适应本体感知）的方法，使软体机器人在不到一分钟的时间内适应灾难性损伤。该技术利用了结构化材料，这些材料会经历逐渐的执行器故障，并允许在低维空间中描述损伤。LEAP使用潜在损伤表示和集成方法来实时适应未见的损伤，与传统机器人组件相比具有显著优势。该方法已成功应用于软体机器人腕部，能够适应切割、烧伤和修复等各种损伤，而无需进行模拟。 AI

排序理由 该集群包含一篇详细介绍新研究方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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新的LEAP方法使软体机器人能够在数秒内适应损伤

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该集群包含一篇详细介绍新研究方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · James Avtges, Jake Ketchum, Helena Young, Taekyoung Kim, Ryan Truby, Todd Murphey ·

    Architected Materials的秒级损伤适应性

    arXiv:2606.17394v1 Announce Type: cross Abstract: Adaptation to damages and in-situ physical repairs is essential for long-term robot autonomy, yet challenging outside of narrowly defined and well-anticipated bounds. In this work we proprioceptively adapt to catastrophic damage i…

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