Perceptron AI · Open Robotics Model

Isaac 0.5

An open-weight embodied foundation model at 36B parameters in a dynamic mixture-of-experts, unifying multimodal video understanding, spatial reasoning, task-progress estimation and robot control in one sparse backbone. Trained on roughly 3 trillion multimodal tokens spanning about 1 million hours of general video and 100,000 hours of robot experience across 35+ robot systems. The figure worth noting is the data-efficiency curve: scaling general video from 1,000 to 1 million hours cut the teleoperation data needed to hit a held-out action-loss target from about 5,900 hours to 28. Weights on Hugging Face.