diff --git a/docs/source/index.mdx b/docs/source/index.mdx index a2f919e7d..0d651d717 100644 --- a/docs/source/index.mdx +++ b/docs/source/index.mdx @@ -1,9 +1,9 @@
@@ -12,12 +12,82 @@ **State-of-the-art machine learning for real-world robotics** -🤗 LeRobot aims to provide models, datasets, and tools for real-world robotics in PyTorch. The goal is to lower the barrier for entry to robotics so that everyone can contribute and benefit from sharing datasets and pretrained models. +🤗 LeRobot provides a hardware-agnostic, Python-native interface for controlling real robots - from affordable arms like the SO-101 to full humanoids. Plus the tools to record, store, and share the datasets they generate. Every dataset uses the standardized **LeRobotDataset** format (synchronized video + action/state data) and can be streamed directly from the [Hugging Face Hub](https://huggingface.co/lerobot). -🤗 LeRobot contains state-of-the-art approaches that have been shown to transfer to the real-world with a focus on imitation learning and reinforcement learning. +🤗 On top of that data, LeRobot implements state-of-the-art policies - from lightweight imitation-learning models like ACT to large vision-language-action models like π₀ and SmolVLA - all trainable, shareable, and deployable with the same handful of CLI commands. -🤗 LeRobot already provides a set of pretrained models, datasets with human collected demonstrations, and simulated environments so that everyone can get started. +The goal: lower the barrier to entry for robotics, so that everyone can contribute to, and benefit from, shared datasets and pretrained models. -🤗 LeRobot hosts pretrained models and datasets on the LeRobot HuggingFace page. +
+LeRobot supports a wide range of arms and mobile robots. Popular picks:
++ Once it's assembled and calibrated, record a dataset and train your first policy with the imitation learning tutorial. +
+You can still train and evaluate policies without owning a robot:
++ Start with the Contributing guide, then add a new policy or bring your own hardware. +
+Every LeRobot CLI command, copy-paste ready.
+ + +Which policy fits your GPU, and how long training takes.
+ + +Load, stream, and visualize robot datasets from the Hub.
+ + +A browser GUI for calibrating, recording, and training - no CLI required.
+ + +Start with ACT, our recommended first policy - or browse SmolVLA, π₀, and more in the sidebar.
+ + +Train and evaluate in simulated environments before touching real hardware.
+ +