Two Examples of Active Categorisation Processes Distributed Over Time

Elio Tuci, Stefano Nolfi, Marco Mirolli, Tomassino Ferrauto, Gianluca Massera

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

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Abstract

Active perception refers to a theoretical approach grounded on the idea that perception is an active process in which the actions performed by the agent play a constitutive role. In this paper we present two different scenarios in which we test active perception principles using an evolutionary robotics approach. In the first experiment, a robotic arm equipped with coarse-grained tactile sensors is required to perceptually categorize spherical and ellipsoid objects. In the second experiment, an active vision system has to distinguish between five different kinds of images of different sizes. In both situations the best individuals develop a close to optimal ability to discriminate different objects/images as well as an excellent ability to generalize their skills in new circumstances. Analyses of evolved behaviours show that agents are able to solve their tasks by actively selecting relevant information and by integrating these information over time.
Original languageEnglish
Title of host publicationroceedings of the 9th International Conference on Epigenetic Robotics (EPIROB 2009)
Pages49-56
Number of pages8
Publication statusPublished - 12 Oct 2009
Event9th International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems - Venice, Italy
Duration: 12 Nov 200914 Nov 2009
http://www.epigenetic-robotics.org

Conference

Conference9th International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems
Country/TerritoryItaly
CityVenice
Period12 Nov 200914 Nov 2009
Internet address

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