perception

Modality-Autoregressive World-Action Modelsarxiv.org

ModAR is a world‑action model that autoregressively denoises multiple future modalities (depth, DINO features, point tracks) before predicting actions, letting each prediction condition on earlier outputs. It outperforms prior WAMs, achieving higher success rates with ~20× fewer training FLOPs and no pretraining.