HARVARDXR
‍EVENTS

This session explores how computational world models are transforming how machines perceive and interact with space. Drawing from AI, simulation, and spatial computing, it examines how systems construct internal representations of complex environments for prediction and navigation. The discussion highlights how these models influence design across virtual and physical contexts. By linking technical innovation with spatial thinking, the session reflects on how machine perception is reshaping spatial understanding and human–machine relationships.