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AVA-VLA: Improving Vision-Language-Action models with Active Visual . . . Vision-Language-Action (VLA) models have demonstrated remarkable capabilities in embodied AI tasks However, existing VLA models, often built upon Vision-Language Models (VLMs), typically process dense visual inputs independently at each timestep This approach implicitly models the task as a Markov Decision Process (MDP) However, this history-agnostic design is suboptimal for effective
视觉–语言–动作（VLA）模型的前世今生 Just as computer vision once bestowed machines with “eyes”, VLA is now endowing them with “hands” “feet” and embodied physical knowledge—ushering in a transformation from virtual assistants to