Hi @albertgassol1 🤗
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv, "The Unified Autonomy Stack: Toward a Blueprint for Generalizable Robot Autonomy," and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page lets people discuss your paper and lets them find artifacts about it (your models, datasets, or demo for instance); you can also claim the paper as yours, which will show up on your public profile at HF, and add Github and project page URLs.
It'd be great to make the navigation checkpoints and the field experiment datasets (like those from the forests, mines, and tunnels mentioned in the paper) available on the 🤗 hub to improve their discoverability and visibility within the robotics community. We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
For robotics policies, you can leverage the hf_hub_download one-liner to download a checkpoint from the hub directly into your stack. We encourage researchers to push each model checkpoint to a separate model repository so that download stats and versioning work effectively.
Uploading dataset
Would be awesome to make the evaluation datasets available on 🤗 as well, so that people can do:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/your-dataset")See here for a guide: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the sensor data (LiDAR, camera, etc.) in the browser.
Let me know if you're interested or need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @albertgassol1 🤗
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv, "The Unified Autonomy Stack: Toward a Blueprint for Generalizable Robot Autonomy," and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page lets people discuss your paper and lets them find artifacts about it (your models, datasets, or demo for instance); you can also claim the paper as yours, which will show up on your public profile at HF, and add Github and project page URLs.
It'd be great to make the navigation checkpoints and the field experiment datasets (like those from the forests, mines, and tunnels mentioned in the paper) available on the 🤗 hub to improve their discoverability and visibility within the robotics community. We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
For robotics policies, you can leverage the hf_hub_download one-liner to download a checkpoint from the hub directly into your stack. We encourage researchers to push each model checkpoint to a separate model repository so that download stats and versioning work effectively.
Uploading dataset
Would be awesome to make the evaluation datasets available on 🤗 as well, so that people can do:
See here for a guide: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the sensor data (LiDAR, camera, etc.) in the browser.
Let me know if you're interested or need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗