To bring the vision of robot manipulators assisting with everyday activities in cluttered environments like living rooms, offices, and kitchens closer to reality, it’s essential to create robot policies that can generalize to new tasks in unfamiliar settings. In a new paper Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation, a research team from Google DeepMind, Carnegie Mellon University and Stanford University pre