DetAug: Obstacle-Blind Trajectory Augmentation for Zero-shot Obstacle Avoidance

Policies for robotic manipulation are produced by training on large teleoperated datasets. These datasets typically consist of free-space trajectories, making them difficult to transfer to test-time environments with obstacles. Previous methods for closing this gap have largely fallen into two group