Kewei Zhang

DataFarm, from Peking University and NVIDIA, hands the teleoperator's job to a coding agent: given one calibration clip and a data request, the agent rebuilds the scene in simulation, writes an expert controller and a success judge, and a video model conditioned on real images renders multi-view video with action labels. On five real bimanual tasks, policies trained only on farm data reached 93 successes in 100 trials in the original scene, against 84 for an equal number of teleoperated episodes, and kept 87 under a tablecloth and coloured light absent from both training sets, where teleoperation-trained policies fell to 46.

DataFarm, from Peking University and NVIDIA, hands the teleoperator's job to a coding agent: given one calibration clip and a data request, the agent rebuilds the scene in simulation, writes an expert controller and a success judge, and a video model conditioned on real images renders multi-view video with action labels. On five real bimanual tasks, policies trained only on farm data reached 93 successes in 100 trials in the original scene, against 84 for an equal number of teleoperated episodes, and kept 87 under a tablecloth and coloured light absent from both training sets, where teleoperation-trained policies fell to 46.