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papersTODAY 04:00 UTC

Stochastic Map Representation for Uncertain Spatial Relationships in Robotics

An updated arXiv paper presents a representation for spatial information called a stochastic map, along with methods for constructing it, extracting information from it, and revising it step by step as new data arrives. The work targets robotics settings where position estimates are uncertain and must be maintained incrementally rather than recomputed from scratch.

robotics/slam/probabilistic-models/arxiv