LeRobot v0.4.0 delivers a major upgrade for open-source robotics, introducing scalable Datasets v3.0, powerful new VLA models like PI0.5 and GR00T N1.5, and a new plugin system for easier hardware integration. The release also adds support for LIBERO and Meta-World simulations, simplified multi-GPU training, and a new Hugging Face Robot Learning Course.

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 (Open X Embodiment) and Droid, bringing unparalleled efficiency and scalability.

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 previous blog post. Open-source robotics keeps leveling up!

Working with LeRobot datasets just got a whole lot easier! We've introduced a powerful set of utilities for flexible dataset editing.

These tools streamline your workflow, allowing you to curate and optimize your robot datasets like never before. Check out the docs for more details!

We're continuously expanding LeRobot's simulation capabilities to provide richer and more diverse training environments for your robotic policies.

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.

We've integrated Meta-World , a premier benchmark for testing multi-task and generalization abilities in robotic manipulation, featuring over 50 diverse manipulation tasks.

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