1X introduces 1XWM, a video-pretrained world model integrated into NEO as a robot policy. Unlike VLAs, 1XWM derives robot actions from text-conditioned video generation, leveraging world dynamics from internet video for zero-shot generalization without large-scale teleoperation data.
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DYNA Robotics introduces Dyna-2, a world-action model pre-trained on 1M+ hours of egocentric human video, demonstrating the first human-to-robot transfer scaling law. With just hours of fine-tuning, it performs tasks across embodiments, achieving 87% zero-shot pass rate at customer sites.
