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English(EN) Energy-Aware Open-Vocabulary Detection Scheduling for Low-Power Robotic Autonomy

能耗感知的OVD调度器提升机器人自主性和效率

研究人员开发了一种面向低功耗移动机器人开放词汇目标检测(OVD)的能耗感知调度系统。该系统根据里程计、地图变化和检测置信度等因素动态调整YOLO-World-S检测模式,以优化能耗。在AgileX LIMO机器人上的评估表明,与固定速率检测基线相比,任务成功率有所提高,功耗有所降低,但并未始终最小化整体任务窗口能耗。 AI

影响 这项研究通过优化AI模型的使用,有望实现更节能、更强大的自主机器人。

排序理由 详细介绍机器人自主性新方法的学术论文。[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 →

能耗感知的OVD调度器提升机器人自主性和效率

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18 / 100
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详细介绍机器人自主性新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Abdul Basit, Muhammad Shafique ·

    面向低功耗机器人自主的能量感知开放词汇检测调度

    arXiv:2611.07663v1 Announce Type: cross Abstract: Open-vocabulary object detection (OVD) lets robots search for run-time object queries, but fixed-rate inference spends embedded compute on low-value frames during idle motion, map revisits, or stable viewpoints. This paper present…