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2017 | OriginalPaper | Buchkapitel

Conditioned Anxiety Mechanism as a Basis for a Procedure of Control Module of an Autonomous Robot

verfasst von : Andrzej Bielecki, Marzena Bielecka, Przemysław Bielecki

Erschienen in: Artificial Intelligence and Soft Computing

Verlag: Springer International Publishing

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Abstract

This paper is devoted to the problem of self-control of autonomous robot in a complex, unknown environment. In such an environment it is impossible to predict all situations the robot could be faced with. Because of this it is necessary to equip the robot with control procedures that allow it to avoid dangerous scenarios. Mechanisms that serve to avoid threatening events have been worked out during evolution and living organisms are equipped with them. Conditioned anxiety is one of such mechanisms. In this paper the way in which this mechanism can be adapted to control of behaviour of autonomous robot, is presented. The effectiveness of the proposed approach has been verified by using V-REP simulator.

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Titel: Conditioned Anxiety Mechanism as a Basis for a Procedure of Control Module of an Autonomous Robot
verfasst von: Andrzej Bielecki
Marzena Bielecka
Przemysław Bielecki
Verlag: Springer International Publishing
Buch: Artificial Intelligence and Soft Computing
Print ISBN: 978-3-319-59059-2

Electronic ISBN: 978-3-319-59060-8

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-59060-8_35

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