ContextFlow: In-Context Flow Matching for Robot Manipulation
ContextFlow is introduced, a conditional flow-matching model that learns continuous action distributions for in-context imitation learning and adapts perceiver-style multimodal context compressors that distill visual, proprioceptive, and action sequences into compact, task-relevant latent representations.