Important
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A curated collection of utilities for LeRobot Projects, including data conversion scripts, preprocessing tools, training workflow helpers and etc..
- [2025.06.27] We have supported Data Conversion from LIBERO to LeRobot! π₯π₯π₯
- [2025.05.16] We have supported Data Conversion from LeRobot to RLDS! π₯π₯π₯
- [2025.05.12] We have supported Data Conversion from RoboMIND to LeRobot! π₯π₯π₯
- [2025.04.15] We add Dataset Merging Tool for merging multi-source lerobot datasets! π₯π₯π₯
- [2025.04.14] We have supported Data Conversion from AgiBotWorld to LeRobot! π₯π₯π₯
More News
- [2025.04.11] We change the repo from
openx2lerobottoany4lerobot, making a ββuniversal toolbox for LeRobotββ! π₯π₯π₯ - [2025.02.19] We have supported Data Conversion from Open X-Embodiment to LeRobot! π₯π₯π₯
ββData Conversionββ:
Training:
- MultiLeRobotDataset
Dataset Preprocess:
- Dataset Merging
- Dataset Filtering
- Dataset Sampling
βVersion Conversionββ:
- LeRobotv2.0 to LeRobotv2.1
- LeRobotv2.1 to LeRobotv2.0
- Hume: A Dual-System VLA with System2 Thinking
- OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning
- SmolVLA: Efficient Vision-Language-Action Model trained on Lerobot Community Data
- SpatialVLA: a spatial-enhanced vision-language-action model that is trained on 1.1 Million real robot episodes
- openpi: the official implemenation of
$Ο_0$ : A Vision-Language-Action Flow Model for General Robot Control - Isaac-GR00T: NVIDIA Isaac GR00T N1 is the world's first open foundation model for generalized humanoid robot reasoning and skills
- Official: State-of-the-art Machine Learning for real-world robotics.
- IPEC-COMMUNITY/OpenX: Open X-Embodiment datasets in LeRobot format with standard transfomation
- IPEC-COMMUNITY/LIBERO: LIBERO datasets in LeRobot format with standard transfomation and filtering
- weijian-sun/agibotworld-lerobot: AgibotWorld-LeRobot v2.0
- GR00T-Dateset: Isaac-GR00T training dataset
- nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim: Isaac-GR00T training dataset
- unitree_IL_lerobot: a training framework enabling the training and testing of data collected using Unitree's G1 robot
- Dora-LeRobot: Lerobot boosted with dora
- Fourier-Lerobot: A training pipeline with Fourier dataset
- Adora-LeRobot: a modified version of lerobot, specifically adapted for the Adora robot
- BiLerobot: A bimanual robotics platform combining LeRobot and ManiSkill for advanced dual-arm manipulation tasks using the SO100 robot digital twin
- lerobot-piper: About Use Lerobot to collect piper robot arm data, and perform training and reasoning
- Lerobot-koch: LeRobot Training Notes for Koch Arm
- LeKiwi: Low-Cost Mobile Manipulator
- XLeRobot: Fully Autonomous Household Dual-Arm Mobile Robot for $998
- LeRobot-Kinematics: Simple and Accurate Forward and Inverse Kinematics Examples for the Lerobot SO100 ARM
- lerobotdepot: a reoi for hardware, components, and 3D-printable projects compatible with the LeRobot library
- PingTi-Arm: A human-scale robotic arm compatible with Lerobot, based on SO100
- Official Docs: This tutorial will explain how to train a neural network to control a real robot autonomously.
- YouTube: LeRobot Tutorials
- LeRobot Tutorial with MuJoCo: Examples for collecting data and training with MuJoCo
- LeRobot Sim2Real: Train in fast simulation and deploy visual policies zero shot to the real world
- lerobot-hilserl-guide: Guide and tutorial to run the HILSerl implementation of LeRobot
- LeRobotTutorial-CN: a tutorial for LeRobot in Chinese
- PathOn.AI: Learn Robotics at PathOn.AI is a platform for learning robotics and AI
- NVIDIA Jetson Tutorials
- lerobot-on-ascend: Tutorial of Deploying ACT on Huawei Ascend 310B
- lerobot_ws: ROS 2 Package for LeRobot SO-ARM101
- lerobot-ros: Running LeRobot and ROS 2 on custom LIDAR
- Physical AI Tools: Physical AI Development Interface with LeRobot and ROS 2
- LeRobot.js: interact with your robot in JS, inspired by LeRobot
- LeLab: A web UI interface on top of lerobot
We appreciate all contributions to improving Any4LeRobot.
Special thanks to the LeRobot teams for making this great framework.
Thanks to everyone for supporting this project.