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If you connect this to your coding agent, you can control a simulated robot and build experiences you can reuse in other scenes. They have an example using the Codex CLI. • Set it up with your coding agent • Give your robot a task • Your coding agent writes Python code to control the scene • It executes the code and checks what happened • It saves reusable procedures as skills You can then reuse those lessons with a real robot in a different environment. No need to retrain a model.
Coding agents are entering the physical world. Zero-shot is only the starting point. What if we gave them practice—and let the next agent inherit what they learned? EmbodiedEvo: one Playground → reusable Skills & Lessons → unseen layouts. No model-weight updates. 45.08 average score. 38.95% success. #1 on the RoboDojo leaderboard. Project: https://t.co/oIQmpkqcel Paper: https://t.co/2YgblnSKoI Github:https://t.co/wh2aO43CT3