Summary
This article offers a technical breakdown of Visual-Language-Action (VLA) models, which are rapidly becoming the dominant paradigm for embodied AI. It explains how modern VLA systems like OpenVLA and RT-2 translate vision and language inputs into robot actions. The piece details key action-decoding approaches, including tokenized autoregressive, diffusion-based, and flow-matching policies, moving beyond buzzword-level discussions.
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