English(EN) CLARO: Clutter Aware Robot Orchestrator for Open-Vocabulary Grasping using VLM Agents

新型VLM代理CLARO掌握了杂乱机器人环境中的抓取能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-27 04:00

研究人员开发了CLARO，这是一种视觉语言模型代理，专为机器人在杂乱环境中抓取物体而设计。CLARO使用开放词汇表对象检测和过去动作的记忆来规划和执行多步检索任务。它在各种条件下都表现出强大的泛化能力，并在真实机器人手臂部署中取得了88.8%的成功率。 AI

影响增强了机器人在非结构化环境中执行复杂操作任务的能力。

排序理由研究论文发表在arXiv上，详细介绍了用于机器人技术的新型VLM代理。[lever_c_demoted from research: ic=1 ai=1.0]

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

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arXiv cs.CV TIER_1 English(EN) · Sungsu Kim, Vineet Bhat, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami · 2026-10-27 04:00

CLARO：用于基于视觉语言模型（VLM）代理的开放词汇抓取中的感知杂乱机器人协调器

arXiv:2610.24016v2 Announce Type: replace-cross Abstract: Robots that follow natural-language instructions unlock a wide range of autonomous applications in households, warehouses, and labs. Real-world environments are diverse and often heavily cluttered, requiring robots to plan…