Hugging Face announces LeRobot v0.4.0, a major upgrade for open-source robotics with Dataset v3.0, new VLA models like PI0.5 and GR00T N1.5, and a plugin system for hardware integration. The release also adds support for LIBERO and Meta-World simulations, multi-GPU training, and a new Hugging Face Robot Learning Course.
Editorial context：LeRobot v0.4.0 introduces significant upgrades for open-source robotics, including Dataset v3.0 with chunked episodes and streaming capabilities, new VLA models like PI0.5 and GR00T N1.5, and a plugin system for hardware integration. These enhancements improve scalability, data management, and support for simulation environments like LIBERO and Meta-World.
Hugging Face introduces SmolVLA, a 450M parameter open-source Vision-Language-Action model for robotics, trained on community-shared datasets. It outperforms larger models in simulation and real-world tasks, supports asynchronous inference for faster response, and is designed for deployment on consumer hardware.
Editorial context：SmolVLA demonstrates that compact, open-source models can outperform larger proprietary systems in both simulation and real-world tasks, highlighting the potential of community-driven data and efficient architectures in advancing robotics research.