Sharing what we have built over the course of the weekend at the 
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Sharing what we have built over the course of the weekend at the 
@llamameta
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llamameta
 hackathon, by Cerebral Valley in London 🇬🇧 👇
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 hackathon, by Cerebral Valley in London 🇬🇧 👇
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@gabrycina
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gabrycina
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@calebgcc
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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.
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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.
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complete list of assets 👇
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complete list of assets 👇
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🤗 trained robotics policies
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🤗 trained robotics policies
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v1:
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v1:
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- 
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- 
https://huggingface.co/fracapuano/moss-pills
fracapuano/moss-pills
model
resource
https://huggingface.co/fracapuano/moss-pills
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- 
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https://huggingface.co/fracapuano/moss-cup
fracapuano/moss-cup
model
resource
https://huggingface.co/fracapuano/moss-cup
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v2:
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v2:
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- 
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https://huggingface.co/fracapuano/meta-grasp
fracapuano/meta-grasp
model
resource
https://huggingface.co/fracapuano/meta-grasp
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🤗 datasets
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🤗 datasets
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v1:
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v1:
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- 
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- 
https://huggingface.co/datasets/fracapuano/pills
fracapuano/pills
dataset
resource
https://huggingface.co/datasets/fracapuano/pills
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- 
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https://huggingface.co/datasets/fracapuano/cup
fracapuano/cup
dataset
resource
https://huggingface.co/datasets/fracapuano/cup
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v2: 
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v2: 
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- 
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https://huggingface.co/datasets/fracapuano/cupim
fracapuano/cupim
dataset
resource
https://huggingface.co/datasets/fracapuano/cupim
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You can find a live demo of our submission at: 
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You can find a live demo of our submission at: 
https://x.com/_fracapuano/status/1858102728691458554
https://x.com/_fracapuano/status/1858102728691458554
link
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If you want to know more about how we collected 100GB+ of data, trained multiple RL-policies using 
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If you want to know more about how we collected 100GB+ of data, trained multiple RL-policies using 
@lerobot
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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 🦾
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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 🦾
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Our project is fully open-source, for the community (and ourselves, 👨‍🍳) to build! A huge thank you to 
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Our project is fully open-source, for the community (and ourselves, 👨‍🍳) to build! A huge thank you to 
@cadene
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cadene
 for the help (and the robot 🤭) - truly feeling these hugs-vibes 🤗 , and to 
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 for the help (and the robot 🤭) - truly feeling these hugs-vibes 🤗 , and to 
@thomwolf
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thomwolf
 and 
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 and 
@clem
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clem
 for sharing our work across
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 for sharing our work across
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Little extra:
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Little extra:
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➡️ Our 🧠EEG waves🧠-based control of the 🦾robotic arm🦾
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➡️ 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 TZ123321
👍
John6666 Smorty100 OmbelineM