AI RESEARCH
A Survey of Spatial Memory Representations for Efficient Robot Navigation
arXiv CS.CV
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ArXi:2604.16482v1 Announce Type: new As vision-based robots navigate larger environments, their spatial memory grows without bound, eventually exhausting computational resources, particularly on embedded platforms (8-16GB shared memory, $<$30W) where adding hardware is not an option. This survey examines the spatial memory efficiency problem across 88 references spanning 52 systems (1989-2025), from occupancy grids to neural implicit representations. We