English(EN) Beyond the Current Scene: Event-Referential Grasping with Active View Selection

机器人学习事件参照抓取以处理被遮挡物体

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-01 04:00

研究人员开发了BeyondSCe，一个新颖的零样本机器人抓取系统，专为通过过去事件中的角色而非直接外观来识别物体的场景而设计。该系统可以通过利用事件历史和当前场景几何来选择最佳摄像头视角，即使物体被遮挡也能找到请求的物体。在实际实验中，BeyondSCe在抓取成功率方面表现出显著提高，特别是对于被遮挡的目标，并且与基线方法相比，减少了定位物体所需的视角数量。 AI

影响增强了机器人理解和响应情境事件信息的能力，可能改善人机交互。

排序理由详细介绍机器人抓取新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

BeyondSCe

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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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Hyunjoon Lee, Haebeom Jung, Eunsung Cha, Daeun Lee, Yu-Chiang Frank Wang, Jaesung Choe, Jaesik Park · 2026-10-01 04:00

超越当前场景：具有主动视角选择的事件参照抓取

arXiv:2609.39375v1 Announce Type: cross Abstract: A robot that observes people interacting with objects should be able to carry out later requests that refer back to those interactions. Such requests may specify a grasp target by the role it played in a past event rather than by …

本文如何被排名

报道来源 [1]

超越当前场景：具有主动视角选择的事件参照抓取

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