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Sharing what we have built over the course of the weekend at the 
Sharing what we have built over the course of the weekend at the 
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@llamameta
llamameta
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 hackathon, by Cerebral Valley in London 🇬🇧 👇
 hackathon, by Cerebral Valley in London 🇬🇧 👇
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@gabrycina
gabrycina
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@calebgcc
calebgcc
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 and I competed with 200+ participants and 50+ teams for a 24-hrs sprint centered around hacking for impact! We focused on applications of robotics to those in need of assisted living, moving our focus to enable greater autonomy and accessibility of robotics in everyday life.
 and I competed with 200+ participants and 50+ teams for a 24-hrs sprint centered around hacking for impact! We focused on applications of robotics to those in need of assisted living, moving our focus to enable greater autonomy and accessibility of robotics in everyday life.
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complete list of assets 👇
complete list of assets 👇
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🤗 trained robotics policies
🤗 trained robotics policies
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v1:
v1:
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- 
- 
resource
https://huggingface.co/fracapuano/moss-pills
model
fracapuano/moss-pills
https://huggingface.co/fracapuano/moss-pills
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resource
https://huggingface.co/fracapuano/moss-cup
model
fracapuano/moss-cup
https://huggingface.co/fracapuano/moss-cup
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v2:
v2:
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- 
resource
https://huggingface.co/fracapuano/meta-grasp
model
fracapuano/meta-grasp
https://huggingface.co/fracapuano/meta-grasp
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🤗 datasets
🤗 datasets
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v1:
v1:
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- 
- 
resource
https://huggingface.co/datasets/fracapuano/pills
dataset
fracapuano/pills
https://huggingface.co/datasets/fracapuano/pills
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- 
resource
https://huggingface.co/datasets/fracapuano/cup
dataset
fracapuano/cup
https://huggingface.co/datasets/fracapuano/cup
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v2: 
v2: 
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- 
- 
resource
https://huggingface.co/datasets/fracapuano/cupim
dataset
fracapuano/cupim
https://huggingface.co/datasets/fracapuano/cupim
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You can find a live demo of our submission at: 
You can find a live demo of our submission at: 
link
https://x.com/_fracapuano/status/1858102728691458554
https://x.com/_fracapuano/status/1858102728691458554
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If you want to know more about how we collected 100GB+ of data, trained multiple RL-policies using 
If you want to know more about how we collected 100GB+ of data, trained multiple RL-policies using 
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@lerobot
lerobot
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 and used Llama-3.2 models to handle user interactions and switch between tasks, go ahead and have a look! Also, don't be a stranger, and reach out 🦾
 and used Llama-3.2 models to handle user interactions and switch between tasks, go ahead and have a look! Also, don't be a stranger, and reach out 🦾
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Our project is fully open-source, for the community (and ourselves, 👨‍🍳) to build! A huge thank you to 
Our project is fully open-source, for the community (and ourselves, 👨‍🍳) to build! A huge thank you to 
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@cadene
cadene
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 for the help (and the robot 🤭) - truly feeling these hugs-vibes 🤗 , and to 
 for the help (and the robot 🤭) - truly feeling these hugs-vibes 🤗 , and to 
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@thomwolf
thomwolf
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 and 
 and 
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@clem
clem
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 for sharing our work across
 for sharing our work across
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Little extra:
Little extra:
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➡️ Our 🧠EEG waves🧠-based control of the 🦾robotic arm🦾
➡️ Our 🧠EEG waves🧠-based control of the 🦾robotic arm🦾
Sharing what we have built over the course of the weekend at the @llamameta hackathon, by Cerebral Valley in London 🇬🇧 👇

@gabrycina @calebgcc and I competed with 200+ participants and 50+ teams for a 24-hrs sprint centered around hacking for impact! We focused on applications of robotics to those in need of assisted living, moving our focus to enable greater autonomy and accessibility of robotics in everyday life.

complete list of assets 👇
🤗 trained robotics policies
v1:
- https://huggingface.co/fracapuano/moss-pills
- https://huggingface.co/fracapuano/moss-cup
v2:
- https://huggingface.co/fracapuano/meta-grasp

🤗 datasets
v1:
- https://huggingface.co/datasets/fracapuano/pills
- https://huggingface.co/datasets/fracapuano/cup
v2: 
- https://huggingface.co/datasets/fracapuano/cupim


You can find a live demo of our submission at: https://x.com/_fracapuano/status/1858102728691458554 

If you want to know more about how we collected 100GB+ of data, trained multiple RL-policies using @lerobot and used Llama-3.2 models to handle user interactions and switch between tasks, go ahead and have a look! Also, don't be a stranger, and reach out 🦾

Our project is fully open-source, for the community (and ourselves, 👨‍🍳) to build! A huge thank you to @cadene for the help (and the robot 🤭) - truly feeling these hugs-vibes 🤗 , and to @thomwolf and @clem for sharing our work across

Little extra:
➡️ Our 🧠EEG waves🧠-based control of the 🦾robotic arm🦾
❤️
clem cfahlgren1 Smorty100 fdaudens BrigitteTousi
👍
John6666 Smorty100 OmbelineM