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ENPIRE enables coding agents to autonomously achieve a 99% success rate in complex real-world manipulation tasks, transforming robotics research from a human-dependent endeavor to a scalable, automated process.
Extracting action signals from 32,041 hours of human video enables CAIP to outperform leading vision encoders in robotic manipulation tasks by over 30%.
Forget painstakingly engineering robot behaviors: DreamZero learns directly from video of other robots or even humans, adapting to new tasks and bodies with just minutes of data.