arXiv 2609.39601 · cs.CV · 2026-09-30
GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives
Qize Yu, Lianrui Fan, Boyu Chen, Jiaqi Liang, Xini Ding, Yue Chen, Zetian Song, Yuran Wang 等 26 人
XPENG AI
在最新榜 #14 2026-W42 第 8 名 本站收录于 2026-10-21
一句话要点
GroundingPI 是 4B 参数的定位基础模型,用坐标 token 输出点和框,为机器人控制提供快速精准的目标定位。
GroundingPI is a 4B grounding foundation model that outputs points and boxes as tokens to give robots fast, precise targeting.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题:机器人与具身
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- In-Context Learning for Robots: Methods and Applications ▲388
- HexaShell: A Thin Harness for Exploring the Limits of VLM Agents as Robot Coding Agents ▲313
- Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience ▲179
- Reflex: Visually Grounded Reactive Humanoid Control ▲154
数据说明
元数据来自 arXiv API(已核实);点赞来自 Hugging Face 每日论文;引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写,不转载摘要原文,请阅读原文。