Summary
Ariel is a new system that enables Large Language Models (LLMs) to directly control live robots through a Python REPL, leveraging their code-writing capabilities. This approach bypasses the need for extensive training data, unlike traditional methods like VLAs or diffusion models, and promises instant generalization across different robots. While currently demonstrated on a simple robot, it represents a significant shift towards more adaptable and code-driven robotic control.
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