Self-Learning Algorithm for Visual Recognition and Object Categorization for Autonomous Mobile Robots

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 107)

Abstract

In order to execute tasks and to navigate in an environment, an autonomous mobile robot needs a complex visual system to cope with detection, characterization and recognition of places and objects. We are interested here in the development of detection and characterization functions, integrated on a robot. In this paper we consider an approach to the development of categorization systems based on building by a robot of its own semantics, which used only by the robot and is not designed for human perception.

Keywords

Neural network Genetic algorithm Visual recognition and object categorization 

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.Ural State UniversityEkaterinburgRussia

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