Understanding VLA: The AI Model for Action Based on Vision and Language
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The upcoming EdgeTech+ 2026 event, scheduled for November 18-20, will highlight technologies supporting physical AI, particularly the Vision-Language-Action (VLA) model. VLA enables robots to recognize their surroundings and understand human instructions to perform actions, transforming visual and language inputs into specific tasks.
This technology is significant as it moves beyond traditional robot control methods, which require detailed action sequences for each task. VLA aims to utilize learned knowledge to adapt to various instructions and environments, enhancing the flexibility and efficiency of robotic systems.
NVIDIA is developing the foundational model for physical AI called Cosmos, which generates data reflecting real-world conditions to support AI development for robots and autonomous vehicles. The integration of VLA with world models, which predict environmental changes, is a key area of interest, although VLA does not necessarily require a world model to function effectively.
Original report
「VLA」って何？ AIが判断し行動する技術…EdgeTech+ 2026【キーワード Vol. 2】
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