LeRobot v0.6.0: Imagine, Evaluate, Improve
LeRobot v0.6.0 introduces new features to improve robot learning, including world model policies that imagine the future and reward models that evaluate success. The release also includes six new simulation benchmarks and a leaner installation process. The updates aim to close the robot learning loop and provide more efficient training and inference capabilities.
- ▪LeRobot v0.6.0 includes three new world model policies: VLA-JEPA, LingBot-VA, and FastWAM.
- ▪The release introduces a new reward models API, including Robometer and TOPReward.
- ▪Datasets now support depth sensing, custom video encoding, and up to 2x faster data loading.
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| Original publisher | Hugging Face - Blog |
| Canonical URL | https://huggingface.co/blog/lerobot-release-v060 |
| Publication time | Tue, 07 Jul 2026 00:00:00 GMT |
| Retrieval time | 2026-07-06T11:24:03.016Z |
| Last seen | 2026-07-06T20:40:24.235Z |
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Back to Articles LeRobot v0.6.0: Imagine, Evaluate, Improve Published July 7, 2026 Update on GitHub Upvote 2 Steven Palma imstevenpmwork Follow Pepijn Kooijmans pepijn223 Follow Caroline Pascal CarolinePascal Follow Khalil Meftah lilkm Follow Martino Russi nepyope Follow Nikodem Bartnik nikodembartnik Follow Nicolas Rabault Nico-robot Follow Thomas Wolf thomwolf Follow TL;DR Table of contents World models: policies that imagine VLA-JEPA LingBot-VA FastWAM VLAs: the model zoo keeps growing GR00T N1.7 MolmoAct2 EO-1 Multitask DiT EVO1 Reward models: knowing when your robot succeeds Robometer TOPReward Datasets: faster loading, richer data Your codec, your rules Depth support, end to end Language annotations at scale Up to 2x faster data loading Benchmarks: one CLI to evaluate them all…
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