LeRobot
An open-source robot learning framework led by Hugging Face that provides a unified dataset format, pretrained models, and training pipelines. Its goal is to lower the entry barrier for imitation learning research in robotics.
Core Facts
Timeline (last 90 days)
Both LingBot-VLA and LingBot-VA have completed ecosystem adaptation to LeRobot, the world's largest robot development platform.
SO-101 (SO-ARM101) is an entry-level 6-degree-of-freedom 3D-printed robotic arm in the LeRobot ecosystem, with a total cost on the order of about 100-200 USD (excluding the 3D printer), driven by standard servos (such as the STS3215 series).
In a Reddit post, the hackathon team explicitly stated that the key reason for choosing the LeRobot solution was that LeRobot is completely open source and supported by Hugging Face, allowing teleoperation, data collection, and imitation learning workflows to be set up quickly.
A team recently used an open-source LeRobot SO-101 robotic arm at a hackathon to build a proof-of-concept automated packing robot for pop-up commercial dark stores, and won first place.
LeRobot defines a unified dataset format, LeRobotDataset, allowing demonstration data collected by the community to be reused across different hardware.
The LeRobot ecosystem has built-in support for imitation learning algorithms such as ACT and Diffusion Policy, making it possible to run the pipeline from teleoperation data collection to policy training within a few days.
Hugging Face's LeRobot project has open-sourced training frameworks and datasets for multiple robotic arms and mobile robots.
The SO-101 uses serial bus servo drives and, combined with open-source frameworks such as LeRobot, can be connected to Python control scripts or large model APIs
In the standard LeRobot kit, the leader arm uses 6 STS3215 servos to sense the angle of each joint.
Compared to the initial version, the new version optimizes cable management and adds accessories to match LeRobot's default resting posture.
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All Facts (20)
LeRobot is an open-source robot learning framework led by Hugging Face, providing a unified dataset format, pre-trained models, and training pipelines.
80%UnverifiedLeRobot is an open-source robot learning framework developed by Hugging Face that provides a standardized data format; RLDS is a format developed by Google based on TensorFlow Datasets and is used in datasets such as Open X-Embodiment.
60%UnverifiedBoth LingBot-VLA and LingBot-VA have completed ecosystem adaptation to LeRobot, the world's largest robot development platform.
50%UnverifiedLeRobot defines a unified dataset format, LeRobotDataset, allowing demonstration data collected by the community to be reused across different hardware.
50%UnverifiedIn a Reddit post, the hackathon team explicitly stated that the key reason for choosing the LeRobot solution was that LeRobot is completely open source and supported by Hugging Face, allowing teleoperation, data collection, and imitation learning workflows to be set up quickly.
50%UnverifiedSO-101 (SO-ARM101) is an entry-level 6-degree-of-freedom 3D-printed robotic arm in the LeRobot ecosystem, with a total cost on the order of about 100-200 USD (excluding the 3D printer), driven by standard servos (such as the STS3215 series).
50%UnverifiedThe LeRobot ecosystem has built-in support for imitation learning algorithms such as ACT and Diffusion Policy, making it possible to run the pipeline from teleoperation data collection to policy training within a few days.
50%UnverifiedHugging Face's LeRobot project has open-sourced training frameworks and datasets for multiple robotic arms and mobile robots.
50%UnverifiedThe SO-101 uses serial bus servo drives and, combined with open-source frameworks such as LeRobot, can be connected to Python control scripts or large model APIs
50%UnverifiedIn the standard LeRobot kit, the leader arm uses 6 STS3215 servos to sense the angle of each joint.
50%UnverifiedLeRobot is an open-source robot learning framework that has attracted significant attention in recent years, and the cost of its hardware kit has been a focal point of community discussion.
50%UnverifiedThe SO-ARM series (including the SO-100 and SO-101) is an open-source robotic arm solution driven by the LeRobot project under Hugging Face.
50%UnverifiedPersonal AI robot commercial products include Vector, Eilik, and Sony Aibo, while open-source projects include Hugging Face's LeRobot framework and Stanford's Mobile ALOHA.
50%UnverifiedHugging Face is positioning itself in the embodied intelligence space through the LeRobot open-source framework and low-cost robotic arm projects.
50%UnverifiedLeRobot是Hugging Face于2024年推出的开源机器人学习框架，数据存储基于Hugging Face Datasets库，底层使用Apache Parquet和Apache Arrow列式存储格式
50%UnverifiedLeRobot中视频数据通过H.264或H.265编码压缩存储，每个数据集以episode为基本单位组织并包含metadata.json文件描述schema信息
50%UnverifiedHugging Face的开源机械臂项目SO-100和LeRobot也使用了与STS3215同系列的舵机
50%UnverifiedLeRobot数据存储基于Hugging Face Datasets库，底层使用Apache Parquet和Apache Arrow列式存储格式
50%UnverifiedLeRobot是Hugging Face于2024年推出的开源机器人学习框架，采用标准化数据格式将机器人操作轨迹组织为episode结构
50%UnverifiedA team recently used an open-source LeRobot SO-101 robotic arm at a hackathon to build a proof-of-concept automated packing robot for pop-up commercial dark stores, and won first place.
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