Robot foundation models are large, pre-trained AI systems that give robots a generalized understanding of the physical world, enabling them to learn new tasks with minimal data. Used across manufacturing, logistics, and healthcare, these models power adaptive automation and human-robot collaboration. Engineers and businesses benefit from reduced programming costs, faster deployment, and more versatile robots capable of handling unpredictable environments.
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