Tag
The paper proposes ViGAR, a hierarchical world-action model for long-horizon compositional robotic manipulation that factorizes tasks into a visual subgoal planner and a subgoal executor, achieving 82.00% and 67.02% success on the RoboTwin Clean2Random benchmark and outperforming the strongest baseline by 12.86 percentage points.