Stanford's HomeBody gives a Unitree G1 spatial memory with GPT Astra so it can tidy a kitchen and fetch medicine on its own

HomeBody: A humanoid that explores, remembers, and acts 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.

Why it matters: Stanford TML put GPT Astra on a Unitree G1, skipped the VLA layer, and showed long-horizon tidying tasks in an unseen kitchen with persistent spatial memory. Paper, code, and video are all present — not just a press release. The score stays at 78 because it's a single paper dr...