Context-aware switching between localisation methods for robust robot navigation: A self-supervised learning approach

Abstract

This paper presents an incremental learning mechanism for context-aware switching between localisation methods which are available to the robots control system (e.g., GPS-based, map-based). The goal is to avoid the cumbersome and error prone manual mapping between localisation methods and environmental contexts. At each moment, the system determines which… (More)
DOI: 10.1109/SMC.2016.7844916

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