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Our Robotic Foundation Model, trained on data from real-world warehouse operations and simulated scenarios, enables our robots to identify objects, understand 3D spaces, and predict optimal grasping and placement.

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34,088 次观看 • 2 年前 •via X (Twitter)

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7 条评论

Altiam Kabir 的头像

Altiam Kabir2 年前

Impressive innovation! Your robots are revolutionizing warehouse operations.

Rish 的头像

Rish2 年前

@PhysicalAI @ipoupyrev

atharva 的头像

atharva2 年前

extremely cool

Michael Spencer 的头像

Michael Spencer2 年前

So where's the tweet about the Amazon deal already?

𝗖𝗵𝗿𝗼𝗻𝗼𝗻𝗮𝘂𝘁 的头像

𝗖𝗵𝗿𝗼𝗻𝗼𝗻𝗮𝘂𝘁2 年前

⚡

ObotX - Open Source Robotics 的头像

ObotX - Open Source Robotics2 年前

Amazing! Maybe you can simulate on such a construction?

Anthara Fairooz 的头像

Anthara Fairooz1 年前

Impressive tech advancements! Exciting potential ahead.

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TidyBot: Personalized Robot Assistance with Large Language Models approach enables fast adaptation and achieves 91.2% accuracy on unseen objects in our benchmark dataset. We also demonstrate our approach on a real-world mobile manipulator called TidyBot, which successfully puts away 85.0% of objects in real-world test scenarios abs: project page: paper page:

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