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Researchers Plug GPT-6 Astra Directly Into a Robot to Tidy an Unfamiliar Kitchen
Key Takeaways
- Stanford and Caltech researchers built HomeBody, letting a Unitree G1 humanoid autonomously tidy an unfamiliar kitchen and fetch items from drawers.
- HomeBody removes the usual trained control layer; a swappable vision-language model, GPT-6 Astra, calls directly into an extensible skill library for grasping, navigation, and opening drawers.
- The robot explores the room first, builds a digital twin in Nvidia's Isaac Sim, and logs objects and locations in spatial memory so it can find items outside its current field of view.
- Known limitations include Astra's latency, overheating finger servos, and high compute costs; the code is available on GitHub.
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DT Editorial Team··via the-decoder.com