Row 5982

Row ID: 5982 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 5982 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Meet [LeRobot](https://github.com/huggingface/lerobot), a library hosting state-of-the-art deep learning for robotics.

The next step of AI development is its application to our physical world. Thus, we are building a community-driven effort around AI for robotics, and it's open to everyone! Take a look at the code: [https://github.com/huggingface/lerobot](https://github.com/huggingface/lerobot)

https://preview.redd.it/ugf4l8lfgryc1.png?width=3794&format=png&auto=webp&s=222825e897ba48eb07acedffb0662d5794af04e8

LeRobot is to robotics what the Transformers library is to NLP. It offers clean implementations of advanced AI models with pre-trained checkpoints. We also reimplemented 31 datasets from academia, and some simulation environments, allowing to get started without a physical robot.

https://preview.redd.it/1d8qnrpggryc1.png?width=2563&format=png&auto=webp&s=3e0d6c10440c9d0970b867813d3a210dd9a7bab9

Additionally, the same models can be trained on real-world datasets. Here is a cool data visualization with [rerun.io](http://rerun.io/) which is fully integrated with our video format optimized for training. The data originally comes from the [Aloha project](http://tonyzhaozh.github.io/aloha). [\[LINK TO VIDEO\]](http://remicadene.com/assets/videos/battery-720p.mov)

https://preview.redd.it/86ihkcwhgryc1.png?width=2506&format=png&auto=webp&s=4f2ca7522a012d00d7327d90335d069dd099a321

Another visualization with LeRobot, this time on [Mobile Aloha](http://mobile-aloha.github.io/) data, to learn navigation and manipulation totally end-to-end. Both datasets have been collected on [trossenrobotics](https://www.trossenrobotics.com/) robot arms. [\[LINK TO VIDEO\]](http://remicadene.com/assets/videos/wipe-420p.mov)

https://preview.redd.it/qqtncqligryc1.png?width=1900&format=png&auto=webp&s=4f83c675b5c6f9dbded4b5b90a7a1c9f531c4086

LeRobot codebase has been validated by replicating state-of-the-art results in simulations. For example, here is the famous ACT policy which has been retrained and made available as a pretrained checkpoint: [\[LINK TO HF HUB\]](http://huggingface.co/lerobot/act_aloha_sim_transfer_cube_human/blob/main/README.md)

LeRobot also features the [Diffusion Policy](http://diffusion-policy.cs.columbia.edu/), a powerful imitation learning algorithm, and [TDMPC](http://yunhaifeng.com/FOWM), a reinforcement learning method that includes a world model, continuously learning from its interactions with the environment.

https://preview.redd.it/br9ibrylgryc1.png?width=1684&format=png&auto=webp&s=8e5595f1dff5381e5f60c6776126f48187ec58d9

Come join our [Discord channel](http://discord.com/invite/s3KuuzsPFb). We are building a diverse community from various backgrounds, software and hardware, to develop the next generation of smart robots in the real-world!

Thanks to the AI and robotics community without whom LeRobot won't have been possible.

Field	Value
text	Meet [LeRobot](https://github.com/huggingface/lerobot), a library hosting state-of-the-art deep learning for robotics. The next step of AI development is its application to our physical world. Thus, we are building a community-driven effort around AI for robotics, and it's open to everyone! Take a look at the code: [https://github.com/huggingface/lerobot](https://github.com/huggingface/lerobot) https://preview.redd.it/ugf4l8lfgryc1.png?width=3794&format=png&auto=webp&s=222825e897ba48eb07aced…
label	r/machinelearning
dataType	post
communityName	r/MachineLearning
datetime	2024-05-06
username_encoded	Z0FBQUFBQm5LakwyTzFlU1JKdWFZVUZLQkFQamI5cDhxNmUzc2F2Y3JTNzFyVW0tTU9KQUktSkk5c0hVcEFsYlhNOGdCQ3J4bTBxbEdEbzNpZDdrR3N0SEl1NHVDOHdBZkE9PQ==
url_encoded	Z0FBQUFBQm5Lak9HVXdUSHlRX0thdTUwYlJEWTJ4M0ZHS1RfT2pJOThJVXVhckVQdnhEMUdaT3psd1dSS1JuMVNiLWhxTWp2NXNERzExRXNvREduWHpYR3MxNnFHa1dBZXhhR0VRVzVSODZHMUFwd1llUkVfRGdnaGNsbHpDcW5Pc0U3bF9JeFY1UzZNNUxNV1JYUGlOVkw0cVR3aF9vQXZuRmh5LTZlQUwzM1haYjM0dGJzOEdLTWlWajczVTN6My1POWNUOG5RRXB2NDVWU0M3ODZIT3Bqc3R4OVc5U0tXQT09

Raw Record

{
  "text": "Meet [LeRobot](https://github.com/huggingface/lerobot), a library hosting state-of-the-art deep learning for robotics.\n\nThe next step of AI development is its application to our physical world. Thus, we are building a community-driven effort around AI for robotics, and it's open to everyone!  \nTake a look at the code: [https://github.com/huggingface/lerobot](https://github.com/huggingface/lerobot)\n\nhttps://preview.redd.it/ugf4l8lfgryc1.png?width=3794&format=png&auto=webp&s=222825e897ba48eb07acedffb0662d5794af04e8\n\nLeRobot is to robotics what the Transformers library is to NLP. It offers clean implementations of advanced AI models with pre-trained checkpoints. We also reimplemented 31 datasets from academia, and some simulation environments, allowing to get started without a physical robot.\n\nhttps://preview.redd.it/1d8qnrpggryc1.png?width=2563&format=png&auto=webp&s=3e0d6c10440c9d0970b867813d3a210dd9a7bab9\n\nAdditionally, the same models can be trained on real-world datasets. Here is a cool data visualization with [rerun.io](http://rerun.io/) which is fully integrated with our video format optimized for training. The data originally comes from the [Aloha project](http://tonyzhaozh.github.io/aloha).  \n[\\[LINK TO VIDEO\\]](http://remicadene.com/assets/videos/battery-720p.mov)\n\nhttps://preview.redd.it/86ihkcwhgryc1.png?width=2506&format=png&auto=webp&s=4f2ca7522a012d00d7327d90335d069dd099a321\n\nAnother visualization with LeRobot, this time on [Mobile Aloha](http://mobile-aloha.github.io/) data, to learn navigation and manipulation totally end-to-end. Both datasets have been collected on [trossenrobotics](https://www.trossenrobotics.com/) robot arms. [\\[LINK TO VIDEO\\]](http://remicadene.com/assets/videos/wipe-420p.mov)\n\nhttps://preview.redd.it/qqtncqligryc1.png?width=1900&format=png&auto=webp&s=4f83c675b5c6f9dbded4b5b90a7a1c9f531c4086\n\nLeRobot codebase has been validated by replicating state-of-the-art results in simulations. For example, here is the famous ACT policy which has been retrained and made available as a pretrained checkpoint:  \n[\\[LINK TO HF HUB\\]](http://huggingface.co/lerobot/act_aloha_sim_transfer_cube_human/blob/main/README.md)\n\nLeRobot also features the [Diffusion Policy](http://diffusion-policy.cs.columbia.edu/), a powerful imitation learning algorithm, and [TDMPC](http://yunhaifeng.com/FOWM), a reinforcement learning method that includes a world model, continuously learning from its interactions with the environment.\n\nhttps://preview.redd.it/br9ibrylgryc1.png?width=1684&format=png&auto=webp&s=8e5595f1dff5381e5f60c6776126f48187ec58d9\n\nCome join our [Discord channel](http://discord.com/invite/s3KuuzsPFb). We are building a diverse community from various backgrounds, software and hardware, to develop the next generation of smart robots in the real-world!\n\nThanks to the AI and robotics community without whom LeRobot won't have been possible.",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-06",
  "username_encoded": "Z0FBQUFBQm5LakwyTzFlU1JKdWFZVUZLQkFQamI5cDhxNmUzc2F2Y3JTNzFyVW0tTU9KQUktSkk5c0hVcEFsYlhNOGdCQ3J4bTBxbEdEbzNpZDdrR3N0SEl1NHVDOHdBZkE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9HVXdUSHlRX0thdTUwYlJEWTJ4M0ZHS1RfT2pJOThJVXVhckVQdnhEMUdaT3psd1dSS1JuMVNiLWhxTWp2NXNERzExRXNvREduWHpYR3MxNnFHa1dBZXhhR0VRVzVSODZHMUFwd1llUkVfRGdnaGNsbHpDcW5Pc0U3bF9JeFY1UzZNNUxNV1JYUGlOVkw0cVR3aF9vQXZuRmh5LTZlQUwzM1haYjM0dGJzOEdLTWlWajczVTN6My1POWNUOG5RRXB2NDVWU0M3ODZIT3Bqc3R4OVc5U0tXQT09"
}

Explore Dataset Explore Row

Entry Information

Entry ID: 5982
Repository: Axioma AXP
Dataset: arrmlet/reddit_dataset_36
Total Entries: 100,000