Researchers plug GPT-6 Astra directly into a robot and let it clean up an unfamiliar kitchen
Stanford and Caltech's HomeBody uses GPT-6 Astra to let a Unitree G1 tidy an unfamiliar kitchen.
Stanford and Caltech researchers built HomeBody, which uses GPT-6 Astra to let a Unitree G1 robot navigate an unfamiliar kitchen, tidy it, and fetch items from drawers. The vision-language model skips a separate trained controller and calls a skill library for grasping, navigation, and opening drawers. The robot first explores the room, builds a digital twin in Nvidia Isaac Sim, and logs objects in spatial memory so it can find items outside its view. Reported limits include Astra latency, overheating finger servos, and high compute cost, and the code is on GitHub.
- HomeBody links GPT-6 Astra directly to a Unitree G1 skill library.
- The robot maps the kitchen in Isaac Sim and keeps spatial memory.
- The model plans cleanup steps and self-corrects after failed actions.
- Limits include Astra latency, overheating finger servos, and compute cost.
- Code is on GitHub; earlier work also flagged robot-control safety issues.
Full article220 words · extracted from the-decoder.com · click to collapse
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 directly into an extensible skill library for grasping, navigating, or 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. That lets it find items even after they leave its field of view. For tasks like "clean up the kitchen," the language model plans each step and self-corrects on errors.
Limitations include Astra's latency, overheating finger servos, and high compute costs. The code is on GitHub. Earlier benchmarks showed Astra's greatly improved spatial reasoning, while another flagged safety issues when Astra controls a robot. OpenAI has already announced plans to get back into robotics, including for personal use.
AI News Without the Hype – Curated by Humans
Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section.
Text extracted automatically; images, tables and formatting may be missing. Original: https://the-decoder.com/researchers-plug-gpt-6-astra-directly-into-a-robot-and-let-it-clean-up-an-unfamiliar-kitchen/