Stanford's HomeBody gives a Unitree G1 spatial memory with GPT Astra so it can tidy a kitchen and fetch medicine on its own
What happened
斯坦福 TML 的 HomeBody 系统让 GPT Astra 直接调用导航、抓取、开抽屉这些技能库，跳过了中间那层需要训练的动作模型。一台宇树 G1 人形机器人先在一个没见过的厨房里自己逛一圈，用 iPhone 和激光雷达数据搭出一个数字孪生环境，然后靠持续的空间记忆去完成长链条任务：把咖啡包归拢到中岛、扔掉过期的牛奶和果汁盒，还能从被挡住的抽屉里...
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- Hacker News front pagePickStanford's HomeBody gives a Unitree G1 spatial memory with GPT Astra so it can tidy a kitchen and fetch medicine on its own
Stanford TML's HomeBody lets GPT Astra directly call a library of navigation, picking, and drawer-opening skills, skipping the learned VLA middleman. A Unitree G1 first explores an unseen kitchen, builds a digital twin from iPhone and LiDAR data, then uses persistent spatial memory for long-horizon tasks: gathering coffee bags on the island, discarding expired milk and juice cartons, and retrieving medicine from an occluded drawer. The system works in a previously unseen kitchen; the post does not disclose success rates or speed metrics.
Heat over time
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