RFM-1
Introducing RFM-1, our Robotics Foundation Model giving robots human-like reasoning capabilities.
RFM-1 is a leap forward in building generalized AI models that can accurately simulate and operate in demanding conditions. Our approach of combining the largest and most comprehensive real-world robot dataset and a vast collection of internet data is unlocking new levels of flexibility and reliability in warehouse operations — while opening the door to broader industry applications and robotic form factors.
Discover RFM-1
The Research
Introducing RFM-1: Giving robots human-like reasoning capabilities
March 11, 2024
The Research
RFM-1 update: In-context learning to improve grasping
March 27, 2024
The Research
RFM-1: Allowing robots and people to communicate in natural language
March 11, 2024
The Research
RFM-1: A world model that understands physics
March 11, 2024
The Research
The Future of Robotics: Robotics Foundation Models and the role of data
January 08, 2024By combining that [physical world] data with the huge amounts of text used to train chatbots like ChatGPT, the company has built A.I. technology that gives its robots a much broader understanding of the world around it.
RFM-1 in the news
How the A.I. that drives ChatGPT will move into the physical world
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Big steps toward AI that can navigate the real world
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Covariant is building ChatGPT for robots
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Giving Robots the Ability to Reason
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OpenAI spinoff has built an AI model that helps robots learn tasks like humans
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This company is using the AI that powers ChatGPT to help warehouse robots expect the unexpected
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Covariant announces Robotics Foundation Model is built on tons of warehouse data
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The Quest to Give AI Chatbots a Hand—and an Arm
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