VLA-JEPA just dropped in LeRobot 🤖 What makes this model special is that it does not just learn what action to take from a given observation, it also leverages a JEPA world model to learn action-relevant dynamics. During training, the VLA leverages V-JEPA2 by conditioning its predictor. This clever trick adds a world modeling objective to the training, which also allows pretraining on human videos. At inference, the world model is dropped entirely, keeping only a standard VLA architecture: Qwen backbone and action head. The demo here was only fine-tuned on 13 examples, showing great pretraining capability and running in real time on @NVIDIARobotics DGX Spark! VLA-JEPA is the first world model to be ported to LeRobot, and I feel like it won't be the last 🚀 @Thom_Wolf @ClementDelangue

We just released a free online robotics course! Let's make everyone robotics AI builders thanks to open-source! 🦾🦾🦾 The course will take you on a journey, from classical robotics to modern learning-based approaches, in understanding, implementing, and applying machine learning techniques to real robotic systems. It is based on the Robot Learning Tutorial, which is a comprehensive guide to robot learning for researchers and practitioners. It bridges theory and practice in Robotics. It's designed for people interested in understanding how machine learning is transforming robotics. Whether you're new to robotics or looking to understand learning-based approaches, this course will guide you step by step. At the end of this course, you'll understand: - how robots learn from data - why learning-based approaches are transforming robotics - how to implement these techniques using modern tools like LeRobot 🦾🦾🦾