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TwelveLabs has released Pegasus 1.6, a model designed to transform raw first-person video feeds into structured training data for robotic agents. This advancement directly addresses the critical need for high-quality, annotated datasets required to train vision-language-action models that can navigate real-world environments autonomously. By streamlining the conversion of unstructured visual input into actionable robot instructions, this tool lowers the barrier for developing sophisticated embodied AI systems.
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TwelveLabs debuts Pegasus 1.6 to improve robotics training data from first-person video
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TwelveLabs debuts Pegasus 1.6 to improve robotics training data from first-person video VentureBeat
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