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Author

Chaoyi Ruan

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Preprint Nov 2026

VLALagBench: Understanding When and Why VLA Inference Latency Matters

Vision-language-action (VLA) models offer a promising path toward general-purpose robot manipulation. While inference latency can affect task success in a constantly evolving physical world, the relationship between latency and task success rate remains poorly understood. In this paper, we introduce VLALagBench, a comp...

Qi-Sheng Wen, Bo-Rui Xu, Hussein Amro et al. · 0 citations
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

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