Nutan Chen

ConFlow: Constraints-Guided Learning with Flow Matching for Motion Generation

Experiments demonstrate that ConFlow achieves lower collision rates and higher trajectory quality than standard flow matching baselines, with or without inference-time guidance, and validate training-time constraint integration as an effective approach to closing the training--inference gap in generative motion models.