Robotics foundation model
A general-purpose pre-trained model capable of driving different robotic morphologies without retraining.
A machine learning model pre-trained on large corpora of multimodal data (video, sensors, text) and capable of driving robots with varied morphologies (humanoids, quadrupeds, articulated arms) without being retrained for each body form. Cross-morphology generalisation is the central promise of these models.
Articles about “Robotics foundation model”
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- Robots: three strategies to capture the missing data
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