Introduction
The work presented in the previous chapters showed how to augment the representation of indoor environments using semantic information about places. In this chapter we describe howrobots can use the intrinsic information of human-made environments to improve their actions. In particular, we apply the semantic labeling of places to two robotic tasks: multi-robot exploration, and localization. In both cases the performance of the robot increases when it takes into account the classification of its location.
The work presented in this chapter originated from a collaboration with Cyrill Stachniss.
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Mozos, Ó.M. (2010). Semantic Information in Exploration and Localization. In: Semantic Labeling of Places with Mobile Robots. Springer Tracts in Advanced Robotics, vol 61. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11210-2_6
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