cross-embodiment 1multimodal learning 1real-time inference 1robot control 1video-action prediction 1world modeling 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.RO2026
World Action Models in Real Time: An Empirical Study of Smooth Execution via Asynchronous Deployment
Motubrain Team
World Action Models generate fixed-horizon action chunks through iterative denoising, creating substantial inference latency that can cause pauses, stale actions, and discontinuiti…
cs.RO2026
Motubrain: An Advanced World Action Model for Robot Control
Motubrain Team, Chendong Xiang, Fan Bao +17
Motubrain is a unified world action model that jointly learns video and robot actions using a UniDiffuser and Mixture-of-Transformers architecture, enabling policy learning, world…