AI RESEARCH
Action with Visual Primitives
arXiv CS.AI
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ArXi:2605.22183v1 Announce Type: cross Vision-Language-Action (VLA) models have emerged as a promising paradigm for generalist robotic manipulation. A common design in current architectures maps language instructions and visual observations to actions in a single forward pass. While conceptually simple, this formulation entangles instruction comprehension, spatial scene understanding, and motor control within a single learning objective.