Learning Semantic Navigation Primitives for Human Habitats Using a Recurrent State-Space World Model

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Presented our work on learning composable semantic navigation behaviors with a recurrent state-space world model. The talk was part of the Navigation and Planning session at WRC 2026 SARA.

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