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Robotics research improves object pose estimation for stable robot control

作者 PulseAugur 编辑部 · [2 个来源] ·

Researchers have developed a new factor graph approach to enhance the temporal consistency and robustness of object pose estimation for robot control. This method incorporates object motion models and explicitly estimates measurement uncertainty within an online optimization framework. The approach aims to improve stability for feedback-based robot control tasks by refining pose estimates through outlier rejection and smoothing. AI

影响 This research could lead to more stable and reliable robot control systems by improving the accuracy and consistency of visual pose estimation.

排序理由 This is a research paper published on arXiv detailing a new methodology for object pose estimation.

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

Robotics research improves object pose estimation for stable robot control

报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Kateryna Zorina, Vojtech Priban, Mederic Fourmy, Josef Sivic, Vladimir Petrik ·

    Temporally Consistent Object 6D Pose Estimation for Robot Control

    arXiv:2605.02708v1 Announce Type: cross Abstract: Single-view RGB object pose estimators have reached a level of precision and efficiency that makes them good candidates for vision-based robot control. However, off-the-shelf methods lack temporal consistency and robustness that a…

  2. arXiv cs.CV TIER_1 English(EN) · Vladimir Petrik ·

    Temporally Consistent Object 6D Pose Estimation for Robot Control

    Single-view RGB object pose estimators have reached a level of precision and efficiency that makes them good candidates for vision-based robot control. However, off-the-shelf methods lack temporal consistency and robustness that are mandatory for a stable feedback control. In thi…

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