CoRL 2026 Spotlight 🌟 A team from Alibaba, RUC, SJTU, BIGAI, and BUAA introduced Ego2Robot. It turns first-person human videos into robot training data. 18,561 hours of synthetic robot data across 15 robot morphologies. Ego2Robot tackles 3 challenges: - Turning human hand movements into robot end-effector trajectories. - Replacing human arms with robot arms in the original scenes. - Filtering out low-quality or inconsistent samples. It also supports two types of input: • Videos with existing hand-pose annotations. • Raw videos, where AI estimates hand poses and splits long videos into individual tasks. On RoboTwin 2.0’s Randomized test, the robot-only model scored 50.9%. Adding Ego2Robot data at a 1:1 ratio with real robot data raised the score to 53.5%, a 2.6 percentage-point gain.