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Preprint Sep 2026

PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models

Qualitative examples show the PhysBrain 1.5 model's ability to produce end-effector trajectories and predict future scenes through spatially aligned RGB, depth, and robot-mask outputs.

DeepCybo Team, Yue Bin, Hai-Peng Cao et al. · 0 citations

IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation

IntentVLA is introduced, a history-conditioned VLA framework that encodes recent visual observations into a compact short-horizon intent representation and uses it to condition chunk generation and improves rollout stability and outperforms strong VLA baselines.

Shijie Lian, Bin Yu, Xiaopeng Lin et al. · 6 citations

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