Jun Lv

This talk introduces Noe-0, Noematrix’s embodied intelligence pretraining model. Its World Action Model jointly predicts future video and robot actions, connecting world understanding with physical execution. We will present our Full-chain Zero-Teleop approach, which uses RoboPocket to collect real-world human manipulation data for both pretraining and task-specific post-training. The talk will cover key model design principles, representative robot demonstrations, and open research questions toward robots that can perform a wider range of everyday tasks.