Breaking Scene Binding: Adaptive Diffusion Policy (DADP) Boosts Robot Generalization
Domain-Adaptive Diffusion Policy (DADP) decouples representation learning and injects domain information into the diffusion process, enabling robots to adapt across varying friction, mass, and dynamics, achieving strong zero-shot performance on MuJoCo and Adroit benchmarks, especially in out-of-distribution scenarios.
