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Applied Intuition, Linxi
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Self-play in vectorized simulators allows TerraTransfer to achieve superior driving performance without the costly burden of expert data, reshaping the landscape of autonomous driving training.
Tactile-reactive policies can boost robotic manipulation success rates by over 30% through innovative data collection and a new Mixture-of-Transformers architecture.
Unlock autonomous driving with YouTube: a new label-free pretraining method learns driving representations directly from unposed in-the-wild videos, outperforming LiDAR baselines with only a single monocular camera.
Ditching explicit 3D geometry, RAYNOVA achieves SOTA multi-view video generation by modeling spatio-temporal relationships directly with a dual-causal autoregressive framework and Pl眉cker-ray positional encoding.
You can now train autonomous driving VLAs on 60% less data and without any reasoning annotations, thanks to a fix for difficulty bias in Group Relative Policy Optimization.
