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Training Self-localization Models for Unseen Unfamiliar Places via Teacher-to-Student Data-Free Knowledge Transfer
Rather than relying on the availability of private data of teachers as in existing methods, we propose to exploit an assumption that holds universally in self-localization tasks: "The teacher model is a self-localization system" and to reuse the self-localization system of a teacher as a sole accessible communication channel.
Active Semantic Localization with Graph Neural Embedding
Semantic localization, i. e., robot self-localization with semantic image modality, is critical in recently emerging embodied AI applications (e. g., point-goal navigation, object-goal navigation, vision language navigation) and topological mapping applications (e. g., graph neural SLAM, ego-centric topological map).
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