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Robotics research introduces new tools and models for action segmentation

作者 PulseAugur 编辑部 · [4 个来源] ·

Researchers have developed ATLAS, a new annotation tool designed to improve the process of labeling long-horizon robotic actions. This tool offers synchronized visualization of multi-modal robotic data, including video and proprioceptive signals, and supports various dataset formats like ROS bags and RLDS. ATLAS aims to reduce annotation time and enhance the accuracy of temporal action segmentation for training robotic manipulation policies. AI

影响 Improves efficiency and accuracy for training robotic manipulation policies by streamlining data annotation.

排序理由 The cluster contains two academic papers introducing new tools and methods for robotic action segmentation.

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →

Robotics research introduces new tools and models for action segmentation

报道来源 [4]

  1. arXiv cs.AI TIER_1 English(EN) · Sergej Stanovcic, Daniel Sliwowski, Dongheui Lee ·

    ATLAS: An Annotation Tool for Long-horizon Robotic Action Segmentation

    arXiv:2604.26637v1 Announce Type: cross Abstract: Annotating long-horizon robotic demonstrations with precise temporal action boundaries is crucial for training and evaluating action segmentation and manipulation policy learning methods. Existing annotation tools, however, are of…

  2. arXiv cs.AI TIER_1 English(EN) · Daniel Sliwowski, Dongheui Lee ·

    M2R2: MultiModal Robotic Representation for Temporal Action Segmentation

    arXiv:2504.18662v3 Announce Type: replace-cross Abstract: Temporal action segmentation (TAS) has long been a key area of research in both robotics and computer vision. In robotics, algorithms have primarily focused on leveraging proprioceptive information to determine skill bound…

  3. arXiv cs.AI TIER_1 English(EN) · Dongheui Lee ·

    ATLAS: An Annotation Tool for Long-horizon Robotic Action Segmentation

    Annotating long-horizon robotic demonstrations with precise temporal action boundaries is crucial for training and evaluating action segmentation and manipulation policy learning methods. Existing annotation tools, however, are often limited: they are designed primarily for visio…

  4. Hugging Face Daily Papers TIER_1 English(EN) ·

    ATLAS: An Annotation Tool for Long-horizon Robotic Action Segmentation

    Annotating long-horizon robotic demonstrations with precise temporal action boundaries is crucial for training and evaluating action segmentation and manipulation policy learning methods. Existing annotation tools, however, are often limited: they are designed primarily for visio…

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