dynamics-aware

LaWAM: Latent World Action Model Enables Efficient, Dynamics-Aware Robot Control with Low Latency

LaWAM (Latent World Action Model) is a new robotics AI that uses compact latent visual subgoals instead of full video generation to achieve fast, dynamics-aware robot control. It achieves state-of-the-art success rates on LIBERO (98.6%) and RoboTwin (91.22%) with 187ms per action-chunk and up to 24x lower latency than pixel-space World Action Models.