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Vision-language-action (VLA) models provide a powerful approach to training control policies for physical systems, such as robots, by combining end-to-end learning with transfer of semantic knowledge from web-scale vision-language model (VLM) training.
A new algorithm for data compression
Philip Gage · 1994
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Tony Z Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn · 2023
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π 0 \pi_{0} : A vision-language-action flow model for general robot control
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Hybridvla: Collaborative diffusion and autoregression in a unified vision-language-action model
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Dexvla: Vision-language model with plug-in diffusion expert for general robot control
Junjie Wen, Yichen Zhu, Jinming Li, Zhibin Tang, Chaomin Shen, and Feifei Feng · 2025
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