Szczegóły publikacji
Opis bibliograficzny
Conditioned anxiety mechanism as a basis for a procedure of control module of an autonomous robot / Andrzej BIELECKI, Marzena BIELECKA, Przemysław Bielecki // W: Artificial Intelligence and Soft Computing : 16th International Conference : ICAISC 2017 Zakopane, Poland, June 11–15, 2017 : proceedings, Pt. 2 / eds. Leszek Rutkowski, [et al.]. — Switzerland : Springer International Publishing, cop. 2017. — (Lecture Notes in Computer Science ; ISSN 0302-9743. Lecture Notes in Artificial Intelligence ; LNAI 10246). — Toż na Dysku Flash. — ISBN: 978-3-319-59059-2; e-ISBN: 978-3-319-59060-8. — S. 390-398. — Bibliogr. s. 396–398, Abstr.
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 106585 |
|---|---|
| Data dodania do BaDAP | 2017-06-30 |
| DOI | 10.1007/978-3-319-59060-8_35 |
| Rok publikacji | 2017 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | 16th International Conference on Artificial Intelligence and Soft Computing |
| Czasopismo/seria | Lecture Notes in Computer Science |
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.