TARS AWE 3.5 aims for generalization with embodied-native architecture
FellMentKE · x · 2026-08-18
Real robotics progress lies in understanding why actions work and transferring that understanding. TARS AWE 3.5 features an embodied-native architecture, latent action & geometry priors, and world-engine-driven post-training, forming a closed loop designed for generalization across diverse tasks and environments.
Related event: TARS unveils AWE 3.5, a generalist embodied AI model(3 posts)→
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