MindJourney enables AI to explore simulated 3D worlds to improve spatial interpretation

Three white line icons on a gradient background transitioning from blue to pink. From left to right: a network or molecule structure with a central circle and six surrounding nodes, a 3D cube, and an open laptop with an eye symbol above it.

A new research framework helps AI agents explore three-dimensional spaces they can’t directly detect. Called MindJourney, the approach addresses a key limitation in vision-language models (VLMs), which give AI agents their ability to interpret and describe visual scenes.  

While VLMs are strong at identifying objects in static

 

 

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