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


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


6 Figures and Tables

Slides referencing similar topics