3D Diffusion Policy (DP3) combines 3D visual representations with diffusion policies to enable effective visuomotor control learning across diverse simulated and real-world robotics tasks. It handles both high-dimensional and low-dimensional control tasks with practical inference speed. The approach uses diffusion models to generate action sequences from visual observations, achieving generalizable robotic manipulation through learned policies.