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1X shares 1XWM progress: action-controllable video generation predicts future outcomes of robot actions, shifting policy evaluation from physical experiments to simulated forecasting at scale.
1X announces 25-DOF tendon-driven hands for NEO. Low gear ratios enable force transparency and backdrivability, combined with high-resolution tactile skin, turning every grasp into an experiment — a perception stack, not just an actuator.
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.
