Efficient Robotic Manipulation Policies Learned from Point Cloud Observations using Conditional Flow Matching

Conditional Flow Matching, a flexible generalization of diffusion models, can be effectively applied to learn robotic manipulation policies from point cloud observations, outperforming state-of-the-art methods.