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研究者将 GPT-6 Astra 接入机器人清理陌生厨房

原标题:Researchers plug GPT-6 Astra directly into a robot and let it clean up an unfamiliar kitchen

THE DECODER研究质量 72

AI 摘要

斯坦福和加州理工的研究人员构建了 HomeBody 系统,让 Unitree G1 机器人能够自主导航陌生厨房、整理物品并从抽屉取物。该系统去掉了语言模型与机器人之间通常的训练控制层,由可替换的视觉语言模型 GPT-6 Astra 直接调用可扩展技能库,机器人先探索房间、在 Nvidia Isaac Sim 中构建数字孪生并记录空间记忆。局限包括 Astra 延迟、手指伺服过热和高算力成本,代码已在 GitHub 发布。

以上摘要由 AI 生成,可能存在误差。事实请以原文为准。

正文节选

Researchers plug GPT-6 Astra directly into a robot and let it clean up an unfamiliar kitchen Researchers from Stanford and Caltech have built HomeBody, a system that lets a Unitree G1 robot autonomously navigate an unfamiliar kitchen, tidy up, and fetch items from drawers. It's yet another test showing GPT-6 Astra works well with robots. HomeBody drops the typical trained control layer between language model and robot. Instead, a swappable vision-language model (VLM), here GPT Astra, calls direc


发布时间:2026-09-27 18:59
抓取时间:2026-09-27 19:50
来源机构:THE DECODER
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