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@imstevenpmwork imstevenpmwork commented Oct 15, 2025

Congratulations! You've made it this far! Once merged, the article will appear at https://huggingface.co/blog. Official articles
require additional reviews. Alternatively, you can write a community article following the process here.

Preparing the Article

You're not quite done yet, though. Please make sure to follow this process (as documented here):

  • Add an entry to _blog.yml.
  • Add a thumbnail. There are no requirements here, but there is a template if it's helpful.
  • Check you use a short title and blog path.
  • Upload any additional assets (such as images) to the Documentation Images repo. This is to reduce bloat in the GitHub base repo when cloning and pulling. Try to have small images to avoid a slow or expensive user experience.
  • Add metadata (such as authors) to your md file. You can also specify guest or org for the authors.
  • Ensure the publication date is correct.
  • Preview the content. A quick way is to paste the markdown content in https://huggingface.co/new-blog. Do not click publish, this is just a way to do an early check.

Here is an example of a complete PR: #2382

Getting a Review

Please make sure to get a review from someone on your team or a co-author.
Once this is done and once all the steps above are completed, you should be able to merge.
There is no need for additional reviews if you and your co-authors are happy and meet all of the above.

Feel free to add @pcuenca as a reviewer if you want a final check. Keep in mind he'll be biased toward light reviews
(e.g., check for proper metadata) rather than content reviews unless explicitly asked.

@imstevenpmwork imstevenpmwork changed the title blog(lerobot): init release 0.4.0 blog blog(lerobot): release 0.4.0 blog Oct 22, 2025
@imstevenpmwork imstevenpmwork marked this pull request as ready for review October 22, 2025 11:08
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Hello @pcuenca can I get a quick review on this ? I'm working on adding the few images of the blog, but we can start reviewing the rest. Also could you tag Jade ([email protected]) as a reviewer and assign me in this PR ?
Thanks !

You can find the ported models on the Hugging Face Hub: [pi0.5_base](https://huggingface.co/lerobot/pi05_base), [pi0_base](https://huggingface.co/lerobot/pi0_base), and their Libero-tuned counterparts.

### GR00T N1.5
In another exciting development, we've integrated **NVIDIA's GR00T N1.5** into LeRobot, thanks to a fantastic collaboration with the NVIDIA robotics team! This open foundation model is a powerhouse for generalized robot reasoning and skills. As a cross-embodiment model, it takes multimodal input (like language and images) to perform complex manipulation tasks in diverse environments, marking another major leap in generalized robotics.
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Is there a way to tag organizations ?

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you can link to them

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very nice!


# LeRobot's v0.4.0 Latest Major Updates!
We're thrilled to announce a series of significant advancements across LeRobot, designed to make open-source robot learning more powerful, scalable, and user-friendly than ever before! From revamped datasets to versatile editing tools, new simulation environments, and a groundbreaking plugin system for hardware, LeRobot is continuously evolving to meet the demands of cutting-edge embodied AI.

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would be nice to have a ToC here

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Perhaps links to previous posts could be useful too, so interested readers can check the evolution.

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I'd also consider a tldr about the most salient points, to get people excited from the start (ToCs are useful, but I'm not sure people actively read them).

We're thrilled to announce a series of significant advancements across LeRobot, designed to make open-source robot learning more powerful, scalable, and user-friendly than ever before! From revamped datasets to versatile editing tools, new simulation environments, and a groundbreaking plugin system for hardware, LeRobot is continuously evolving to meet the demands of cutting-edge embodied AI.

## Datasets: Ready for the Next Wave of Large-Scale Robot Learning
We've completely overhauled our dataset infrastructure with **LeRobotDataset v3.0**, featuring a new chunked episode format and streaming capabilities. This is a game-changer for handling massive datasets like OXE, bringing unparalleled efficiency and scalability.
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would be nice to link to OXE and dataset library on GH too

* Unified Parquet Metadata: Say goodbye to scattered JSONs! All episode metadata is now stored in unified, structured Parquet files for easier management and access.
* Faster Loading & Better Performance: Experience significantly reduced dataset initialization times and more efficient memory usage.

We've also provided a conversion script to easily migrate your existing v2.1 datasets to the new v3.0 format, ensuring a smooth transition. Read more about it in our [blog post](https://huggingface.co/blog/lerobot-datasets-v3). Open-source robotics keeps leveling up!
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very cool!

### New Feature: Dataset Editing Tools!
Working with LeRobot datasets just got a whole lot easier! We've introduced a powerful set of utilities for flexible dataset editing.

With our new `lerobot-edit-dataset` CLI, you can now:
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would be nice to put some example CLI commands here

![TODO](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/lerobot-release-v040/XXX.png)

### LIBERO Support:
LeRobot now officially supports **LIBERO**, one of the largest open benchmarks for Vision-Language-Action (VLA) policies, boasting over 130 tasks! This is a huge step toward building the go-to evaluation hub for VLAs, enabling easy integration and a unified setup for evaluating any VLA policy.
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would be nice to put some small examples and what type of envs are in LIBERO for those who don't know


### Phone Integration

Thanks to our powerful new pipeline system, you can now teleoperate your follower arm **right from your phone** (iOS/Android). The phone acts as a teleoperator device, and our `RobotProcessor` pipeline handles all the transformations, allowing you to drive robots in different action spaces (like end-effector space) with ease.
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can you give pointers on ho wpeople can get started with this?

Learn how to create your own plugin in our [documentation](https://huggingface.co/docs/lerobot/integrate_hardware#using-your-own-lerobot-devices-).

### Reachy 2 Integration:
Thanks to our new plugin system, we've also added **Reachy 2** from Pollen Robotics to LeRobot! Reachy 2 is available for both real robot control and simulation, enabling you to experiment with teleoperation and autonomous demos right away.
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maybe a link to how to purchase one would be cool


We want to extend a huge **thank you to everyone in the community** for your invaluable contributions, feedback, and support. We're incredibly excited about the future of open-source robotics and can't wait to show you what's next.

Stay tuned for more to come\! <br>
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ending with like

Suggested change
Stay tuned for more to come\! <br>
Stay tuned for more to come 🤗 Get started [here](LINK_TO_LEROBOT0.4.0)!

would be more actionable

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@merveenoyan most of your comments (the ones with a thumb-up) were addressed in this commit: 0e37958

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🔥

- user: thomwolf
---

# LeRobot's v0.4.0 Latest Major Updates!
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Don't we want to sync it with the title in the metadata?

We've completely overhauled our dataset infrastructure with **LeRobotDataset v3.0**, featuring a new chunked episode format and streaming capabilities. This is a game-changer for handling massive datasets like [OXE](https://huggingface.co/collections/lerobot/open-x-embodiment) and [Droid](https://huggingface.co/datasets/lerobot/droid_1.0.1), bringing unparalleled efficiency and scalability.

### What's New in Datasets v3.0?
* Chunked Episodes for Massive Scale: Our new format supports datasets at the OXE-level, enabling unprecedented scalability.
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unprecedented scalability

Why? Do we want to explain what OXE is (also, the acronym)?


# LeRobot's v0.4.0 Latest Major Updates!
We're thrilled to announce a series of significant advancements across LeRobot, designed to make open-source robot learning more powerful, scalable, and user-friendly than ever before! From revamped datasets to versatile editing tools, new simulation environments, and a groundbreaking plugin system for hardware, LeRobot is continuously evolving to meet the demands of cutting-edge embodied AI.

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Perhaps links to previous posts could be useful too, so interested readers can check the evolution.

```bash
# Merge multiple datasets into a single dataset.
lerobot-edit-dataset \
--repo_id lerobot/pusht_merged \
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does this exist?

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No, these are examples (placeholders)

* Co-training on Heterogeneous Data: Learns from a diverse mix of multimodal web data, verbal instructions, subtask commands, and multi-environment robot data.
* Physical Intelligence Collaboration: Huge thanks to the [Physical Intelligence team](https://huggingface.co/physical-intelligence) for their groundbreaking work!

You can find the ported models on the Hugging Face Hub: [pi0.5_base](https://huggingface.co/lerobot/pi05_base), [pi0_base](https://huggingface.co/lerobot/pi0_base), and their Libero-tuned counterparts. For more details, checkout the [Physical Intelligence Reasearch](https://www.physicalintelligence.company/blog/pi05)
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Ported from what? Also, the model card could use some metadata.
Screenshot 2025-10-23 at 18 08 29

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Will update the model card in the following days, thanks !

* Scalability: Supports a growing ecosystem of devices without bloating the core library.
* Community-Friendly: Lowers the barrier to entry for community contributions, fostering a more collaborative environment.

Learn how to create your own plugin in our [documentation](https://huggingface.co/docs/lerobot/integrate_hardware#using-your-own-lerobot-devices-).
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A specific example (in addition to the docs) could be illustrative too.


# LeRobot's v0.4.0 Latest Major Updates!
We're thrilled to announce a series of significant advancements across LeRobot, designed to make open-source robot learning more powerful, scalable, and user-friendly than ever before! From revamped datasets to versatile editing tools, new simulation environments, and a groundbreaking plugin system for hardware, LeRobot is continuously evolving to meet the demands of cutting-edge embodied AI.

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I'd also consider a tldr about the most salient points, to get people excited from the start (ToCs are useful, but I'm not sure people actively read them).

imstevenpmwork and others added 6 commits October 23, 2025 21:25
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@pcuenca most of your comments (the ones with a thumb-up) were addressed in this commit: cd0cdaf

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imstevenpmwork commented Oct 24, 2025

Blog post should now be in its final state! : ) Aiming at releasing this today Friday (Oct 24th) any time before 15:00 CET

@pcuenca pcuenca merged commit bf78f76 into huggingface:main Oct 24, 2025
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