Home › Robotics › LeRobot

LeRobot - AI Robotics Tool

Overview

LeRobot is a suite of models, datasets, and tools focused on real-world robotics. It provides end-to-end learning resources implemented in PyTorch for robotics AI applications.

Key Features

  • Models targeting real-world robotics tasks
  • Curated datasets for robotics research and evaluation
  • Tools for building and evaluating robot learning pipelines
  • End-to-end learning resources and example workflows
  • PyTorch-first implementations for model development

Ideal Use Cases

  • Develop and evaluate robot learning algorithms
  • Benchmark and compare robotics datasets
  • Research end-to-end learning for robotic systems
  • Prototype PyTorch-based robotics models and pipelines

Getting Started

  • Visit the GitHub repository to review documentation and examples
  • Clone the repository to your local environment
  • Install Python and a compatible PyTorch version
  • Install repository dependencies from provided requirements
  • Explore model, dataset, and tool directories for examples
  • Run included example scripts to validate setup

Pricing

No pricing information provided.

Key Information

  • Category: Robotics
  • Type: AI Robotics Tool
Visit Official Website

Related Tools

FAST: Efficient Action Tokenization for Vision-Language-Action Models

A Hugging Face repository that provides a universal action tokenizer (FAST+) designed to map sequences of robot actions into dense, discrete tokens for training autoregressive vision-language-action models. It supports both usage of a pre-trained tokenizer and easy custom training on users' own data.
Genesis

Genesis is a physics simulation platform and generative data engine for general-purpose robotics and embodied AI learning. It features a universal physics engine, ultra-fast robotics simulation, photorealistic rendering, and a modular generative framework that converts natural language prompts into various data modalities.
NVIDIA Isaac GR00T N1

An open foundation model for generalized humanoid robot reasoning and manipulation. It accepts multimodal inputs (language and images) and uses a vision-language foundation model combined with a diffusion transformer head to denoise continuous actions, enabling robot control and fine-tuning for specific tasks and embodiments.
NVIDIA Isaac GR00T N1

The world’s first open foundation model for generalized humanoid reasoning and skills, aimed at advancing robotics systems and autonomous vehicle technology.
Reachy Mini

Reachy Mini is an expressive, open‐source robot designed for human-robot interaction, creative coding, and AI experimentation. Programmable in Python (with upcoming support for additional languages), it integrates with state-of-the-art Hugging Face models for speech, vision, and personality. Available as a kit in a lite or wireless version, it is intended for AI developers, researchers, educators, and hobbyists to build, test, and share real-world AI applications.
ai2thor

ai2thor is an open-source simulated environment platform for Visual AI. It provides high-quality, interactive indoor scenes with detailed household objects, multi-agent support, a wide range of actions, and diverse sensory data. The platform is designed to facilitate research in embodied AI, including common sense reasoning, navigation, and manipulation tasks.