You can't joke with me, I tend to take everything too seriously hahaha
Haitham Bou Ammar PRO
hba123
AI & ML interests
LLMs, VLMs, Robotics, Reinforcement Learning, Bayesian Optimisation
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replied to
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post
1 day ago
I am happy to announce that Ark now supports the following robots:
1. Franka Panda
2. Kuka LWR
3. UFactory XArm
4. Husky Robot
Everything is done in Python. You can even control your robot from a Jupiter notebook.
Check out the tutorials: https://arkrobotics.notion.site/ARK-Home-22be053d9c6f8096bcdbefd6276aba61
Check out the code: https://github.com/orgs/Robotics-Ark/repositories
Check out the documentation: https://robotics-ark.github.io/ark_robotics.github.io/docs/html/index.html
Check out the paper: https://robotics-ark.github.io/ark_robotics.github.io/static/images/ark_framework_2025.pdf
Hope you find it useful. Let us know if you want a specific feature! We would love to support you 😄
replied to
their
post
2 days ago
I am happy to announce that Ark now supports the following robots:
1. Franka Panda
2. Kuka LWR
3. UFactory XArm
4. Husky Robot
Everything is done in Python. You can even control your robot from a Jupiter notebook.
Check out the tutorials: https://arkrobotics.notion.site/ARK-Home-22be053d9c6f8096bcdbefd6276aba61
Check out the code: https://github.com/orgs/Robotics-Ark/repositories
Check out the documentation: https://robotics-ark.github.io/ark_robotics.github.io/docs/html/index.html
Check out the paper: https://robotics-ark.github.io/ark_robotics.github.io/static/images/ark_framework_2025.pdf
Hope you find it useful. Let us know if you want a specific feature! We would love to support you 😄
reacted
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their
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3 days ago
I am happy to announce that Ark now supports the following robots:
1. Franka Panda
2. Kuka LWR
3. UFactory XArm
4. Husky Robot
Everything is done in Python. You can even control your robot from a Jupiter notebook.
Check out the tutorials: https://arkrobotics.notion.site/ARK-Home-22be053d9c6f8096bcdbefd6276aba61
Check out the code: https://github.com/orgs/Robotics-Ark/repositories
Check out the documentation: https://robotics-ark.github.io/ark_robotics.github.io/docs/html/index.html
Check out the paper: https://robotics-ark.github.io/ark_robotics.github.io/static/images/ark_framework_2025.pdf
Hope you find it useful. Let us know if you want a specific feature! We would love to support you 😄
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Post
2229
I am happy to announce that Ark now supports the following robots:
1. Franka Panda
2. Kuka LWR
3. UFactory XArm
4. Husky Robot
Everything is done in Python. You can even control your robot from a Jupiter notebook.
Check out the tutorials: https://arkrobotics.notion.site/ARK-Home-22be053d9c6f8096bcdbefd6276aba61
Check out the code: https://github.com/orgs/Robotics-Ark/repositories
Check out the documentation: https://robotics-ark.github.io/ark_robotics.github.io/docs/html/index.html
Check out the paper: https://robotics-ark.github.io/ark_robotics.github.io/static/images/ark_framework_2025.pdf
Hope you find it useful. Let us know if you want a specific feature! We would love to support you 😄
1. Franka Panda
2. Kuka LWR
3. UFactory XArm
4. Husky Robot
Everything is done in Python. You can even control your robot from a Jupiter notebook.
Check out the tutorials: https://arkrobotics.notion.site/ARK-Home-22be053d9c6f8096bcdbefd6276aba61
Check out the code: https://github.com/orgs/Robotics-Ark/repositories
Check out the documentation: https://robotics-ark.github.io/ark_robotics.github.io/docs/html/index.html
Check out the paper: https://robotics-ark.github.io/ark_robotics.github.io/static/images/ark_framework_2025.pdf
Hope you find it useful. Let us know if you want a specific feature! We would love to support you 😄
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posted
an
update
3 days ago
Post
2229
I am happy to announce that Ark now supports the following robots:
1. Franka Panda
2. Kuka LWR
3. UFactory XArm
4. Husky Robot
Everything is done in Python. You can even control your robot from a Jupiter notebook.
Check out the tutorials: https://arkrobotics.notion.site/ARK-Home-22be053d9c6f8096bcdbefd6276aba61
Check out the code: https://github.com/orgs/Robotics-Ark/repositories
Check out the documentation: https://robotics-ark.github.io/ark_robotics.github.io/docs/html/index.html
Check out the paper: https://robotics-ark.github.io/ark_robotics.github.io/static/images/ark_framework_2025.pdf
Hope you find it useful. Let us know if you want a specific feature! We would love to support you 😄
1. Franka Panda
2. Kuka LWR
3. UFactory XArm
4. Husky Robot
Everything is done in Python. You can even control your robot from a Jupiter notebook.
Check out the tutorials: https://arkrobotics.notion.site/ARK-Home-22be053d9c6f8096bcdbefd6276aba61
Check out the code: https://github.com/orgs/Robotics-Ark/repositories
Check out the documentation: https://robotics-ark.github.io/ark_robotics.github.io/docs/html/index.html
Check out the paper: https://robotics-ark.github.io/ark_robotics.github.io/static/images/ark_framework_2025.pdf
Hope you find it useful. Let us know if you want a specific feature! We would love to support you 😄
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Hey amazing people!
We combined DeepSeek R1 with a real-world game to see if robots can play checkers. Well, they kind of can! Check it out:
https://huggingface.co/blog/codyreading/deepseek-checkers
We combined DeepSeek R1 with a real-world game to see if robots can play checkers. Well, they kind of can! Check it out:
https://huggingface.co/blog/codyreading/deepseek-checkers
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4 months ago
Post
2264
Hey amazing people!
We combined DeepSeek R1 with a real-world game to see if robots can play checkers. Well, they kind of can! Check it out:
https://huggingface.co/blog/codyreading/deepseek-checkers
We combined DeepSeek R1 with a real-world game to see if robots can play checkers. Well, they kind of can! Check it out:
https://huggingface.co/blog/codyreading/deepseek-checkers
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4 months ago
Article
Deepseek R1 Robotic Reasoning with Checkers
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Article
Deepseek R1 Robotic Reasoning with Checkers
By
and 4 others
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We developed a method that ensures almost-sure safety (i.e., safety with probability approaching 1). We proved this result. We then, present a practical implementation which we call InferenceGuard. InferenceGuard has impressive practical results: 91.04% on Alpaca-7B and 100% safety results on Beaver 7B-v3.
Now, it is easy to get high safety results like those if we want a dumb model, e.g., just don't answer or answer with EOS and so on. However, our goal is not to only have safe results, but also to make sure that the rewards are high - we want a good trade-off between safety and rewards! That's exactly, what we show. InferenceGuard achieves that!
Check it out: Almost Surely Safe Alignment of Large Language Models at Inference-Time (2502.01208)
Now, it is easy to get high safety results like those if we want a dumb model, e.g., just don't answer or answer with EOS and so on. However, our goal is not to only have safe results, but also to make sure that the rewards are high - we want a good trade-off between safety and rewards! That's exactly, what we show. InferenceGuard achieves that!
Check it out: Almost Surely Safe Alignment of Large Language Models at Inference-Time (2502.01208)
posted
an
update
5 months ago
Post
1774
We developed a method that ensures almost-sure safety (i.e., safety with probability approaching 1). We proved this result. We then, present a practical implementation which we call InferenceGuard. InferenceGuard has impressive practical results: 91.04% on Alpaca-7B and 100% safety results on Beaver 7B-v3.
Now, it is easy to get high safety results like those if we want a dumb model, e.g., just don't answer or answer with EOS and so on. However, our goal is not to only have safe results, but also to make sure that the rewards are high - we want a good trade-off between safety and rewards! That's exactly, what we show. InferenceGuard achieves that!
Check it out: Almost Surely Safe Alignment of Large Language Models at Inference-Time (2502.01208)
Now, it is easy to get high safety results like those if we want a dumb model, e.g., just don't answer or answer with EOS and so on. However, our goal is not to only have safe results, but also to make sure that the rewards are high - we want a good trade-off between safety and rewards! That's exactly, what we show. InferenceGuard achieves that!
Check it out: Almost Surely Safe Alignment of Large Language Models at Inference-Time (2502.01208)
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