Supervised semantic labeling of places using information extracted from sensor data

Abstract

Indoor environments can typically be divided into places with different functionalities like corridors, rooms or doorways. The ability to learn such semantic categories from sensor data enables a mobile robot to extend the representation of the environment facilitating the interaction with humans. As an example, natural language terms like “corridor” or… (More)
DOI: 10.1016/j.robot.2006.12.003

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