Important
Star and Contribute, let's make community of robotics better and better! ๐ฅ
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! ๐ฅ๐ฅ๐ฅ
- [2025.05.16] We have supported Data Conversion from LeRobot to RLDS! ๐ฅ๐ฅ๐ฅ
- [2025.05.12] We have supported Data Conversion from RoboMIND to LeRobot! ๐ฅ๐ฅ๐ฅ
- [2025.04.15] We add Dataset Merging Tool for merging multi-source lerobot datasets! ๐ฅ๐ฅ๐ฅ
- [2025.04.14] We have supported Data Conversion from AgiBotWorld to LeRobot! ๐ฅ๐ฅ๐ฅ
More News
- [2025.04.11] We change the repo from
openx2lerobottoany4lerobot, making a โโuniversal toolbox for LeRobotโโ! ๐ฅ๐ฅ๐ฅ - [2025.02.19] We have supported Data Conversion from Open X-Embodiment to LeRobot! ๐ฅ๐ฅ๐ฅ
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โโData Conversionโโ:
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Training:
- MultiLeRobotDataset
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Dataset Preprocess:
- Dataset Merging
- Dataset Filtering
- Dataset Sampling
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โVersion Conversionโโ:
- LeRobotv2.0 to LeRobotv2.1
- LeRobotv2.1 to LeRobotv2.0
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Hume: A Dual-System VLA with System2 Thinking
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OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning
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SmolVLA: Efficient Vision-Language-Action Model trained on Lerobot Community Data
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SpatialVLA: a spatial-enhanced vision-language-action model that is trained on 1.1 Million real robot episodes
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openpi: the official implemenation of
$ฯ_0$ : 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.
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Special thanks to the LeRobot teams for making this great framework.
Thanks to everyone for supporting this project.