AINeutralarXiv – CS AI · 9h ago6/10
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TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies
TempoVLA introduces a controllable speed mechanism for Vision-Language-Action robot models, enabling flexible execution from fast transit to slow precision work. The approach uses trajectory augmentation during training and conditioning mechanisms during inference, allowing a single model to dynamically adjust operational speed based on task risk levels.