LeRobot v0.6.0: Imagine, Evaluate, Improve
LeRobot v0.6.0: Imagine, Evaluate, Improve
LeRobot v0.6.0 introduces world model policies that learn to imagine the future, new VLAs, and a reward models API. It also includes six new simulation benchmarks, improved dataset handling with depth support and language annotations, and deployment tools like lerobot-rollout.
LeRobot v0.6.0 introduces world model policies (VLA-JEPA, FastWAM, LingBot-VA) that learn to imagine the future, a wave of new VLAs (GR00T N1.7, MolmoAct2, EO-1, EVO1, Multitask DiT), and a new reward models API (Robometer, TOPReward). It also includes six new simulation benchmarks, improved dataset handling with depth support and language annotations, and deployment tools like lerobot-rollout.
Source: Hugging Face — Robotics · Read original article ↗
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10,000
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LIBERO-plus stress-tests VLAs with roughly 10,000 perturbed variants of LIBERO across seven axes
Open source S22
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as an evaluation hub for VLAs; v0.6.0 makes it the real deal with six new simulation benchmarks, all runnable through the same lerobot-eval CLI, each with a docs page, a Docker image, and a SmolVLA baseline checkpoint smoke-tested in CI: LIBERO-plus stress-tests VLAs with roughly 10,000 perturbed variants of LIBERO across seven axes, from lighting and camera viewpoints to rewritten instructions. It tells you when a
Open source S22
Source：Hugging Face — Robotics · huggingface.co