DROM: A Language-Guided Diffusion Framework for Multi-Skill Robotic Manipulation

Learning robust manipulation policies for diverse, long-horizon tasks from limited demonstrations remains a fundamental challenge in robotics. We present DROM, a language-guided diffusion framework that enables robots to learn, represent, and compose multiple manipulation skills within a single generative policy.

From the abstract. Our summary is in progress.