arXiv AI
WAMJET: A Harness for World Action Model Acceleration
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LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation
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arXiv:2608. 02365v1 Announce Type: cross Abstract: World Action Models (WAMs) couple robot action prediction with video world models.
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arXiv:2606. 08962v1 Announce Type: new Abstract: World Action Models (WAMs) generalize better than standard Vision-Language-Action (VLA) policies to novel motions and environments, because a video-modeling objective lets them learn from abundant unlabeled video rather than scarce labeled robot demonstrations.
arXiv AI
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DELE-w0.5: Inferring Action from Future Latent State for Robotic Manipulation
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arXiv AI
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Inferring Action from Future Latent State for Robotic Manipulation
arXiv:2608.22067v1 Announce Type: cross Abstract: World-Action Models (WAMs) build robot control on video-generation backbones, which jointly predict dense future visual trajectories and robot action...