Covariant, a provider of robotic gripping software, has introduced RFM-1, a robotics foundation model that enables users to build generalized AI models that can simulate and operate in real-world conditions.
The solution is trained on general internet data such as text, images, and videos, as well as physical real-world interactions, such as robot actions, and a range of numerical sensor readings.
Moreover, the RFM-1 can be used across various applications such as language-guided robot programming, simulation generation, and object identification. Users can provide a text command such as identifying and picking up an object, and have the system carry out the instructions.
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