Diffusion Policy

A robot policy that generates actions using a denoising diffusion process — starting from random noise and iteratively refining it into a coherent action sequence. Diffusion policies excel at representing multi-modal action distributions and producing smooth, temporally consistent trajectories. They have achieved state-of-the-art results on contact-rich manipulation tasks. Inference is slower than feedforward policies due to the iterative denoising steps.