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. We've integrated Meta-World, a premier benchmark for testing multi-task and generalization abilities in robotic manipulation, featuring over 50 diverse manipulation tasks. This integration, along with our standardized use of gymnasium ≥ 1.0.0 and mujoco ≥ 3.0.0, ensures deterministic seeding and a robust simulation foundation. We're making robot control more flexible and accessible, enabling new possibilities for data collection and model training. Getting data from a robot to a model (and back!) is tricky. Raw sensor data, joint positions, and language instructions don't match what AI models expect. Models need normalized, batched tensors on the right device, while your robot hardware needs specific action commands. You can chain these steps together into a powerful pipeline to perfectly manage your data flow. We've even created two distinct types to make life easier: This system makes it simple to connect any policy to any robot, ensuring your data is always in the perfect format for every step of the way. Learn more about it in our Introduction to Processors documentation. Training large robot policies just got a lot faster! We've integrated Accelerate directly into our training pipeline, making it incredibly simple to scale your experiments across multiple GPUs with just one command: The native integration of these policies in lerobot is a huge step forward in making robot learning as open and reproducible as it can be. Try them out today, share your runs, and let's push forward the frontier of embodied AI together! We're launching a comprehensive, self-paced, and entirely open-source course designed to make robot learning accessible to everyone! If you're curious about how real-world robots learn, this is the perfect place to start. Beyond these major features, this release is packed with numerous bug fixes, documentation improvements, updated dependencies, more examples and better infrastructure to make your experience with LeRobot smoother and more reliable. 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 work with you on what's next! I should have read this article earlier. I was trying to use gr00t n1.5 model using gr00t repository, but now it is integrated with lerobot repository. Such a huge upgrade!