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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.

Covariant

11,623 subscribers

34,088 просмотров • 2 лет назад •via X (Twitter)

Наука и технологии Образование

Anya Rossi• Live Now

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Комментарии: 7

Фото профиля Altiam Kabir

Altiam Kabir2 лет назад

Impressive innovation! Your robots are revolutionizing warehouse operations.

Фото профиля Rish

Rish2 лет назад

@PhysicalAI @ipoupyrev

Фото профиля atharva

atharva2 лет назад

extremely cool

Фото профиля Michael Spencer

Michael Spencer2 лет назад

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

Фото профиля 𝗖𝗵𝗿𝗼𝗻𝗼𝗻𝗮𝘂𝘁

𝗖𝗵𝗿𝗼𝗻𝗼𝗻𝗮𝘂𝘁2 лет назад

⚡

Фото профиля ObotX - Open Source Robotics

ObotX - Open Source Robotics2 лет назад

Amazing! Maybe you can simulate on such a construction?

Фото профиля Anthara Fairooz

Anthara Fairooz1 год назад

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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