Implementation of Cognitive Perception Functions in Fuzzy Situational Control Model

Procedia Computer Science. Vol.149: ICTE in Transportation and Logistics 2018 (ICTE 2018) 2019
Anatolii Kargin, Sergej Panchenko, Aleksejs Vasiļjevs, Tetyana Petrenko

In autonomous transport systems, it is useful to be able to continue interrupted traffic after removing the obstacle that caused deviations from the route. This article describes a control model in which cognitive functions, such as context and attention are embedded. The fuzzy situational control model of an autonomously moving machine along a route with obstacles is expanded by tracking context and switching attention mechanisms. Additionally, it describes a knowledge representation about the route, the surrounding space and how to avoid collisions with obstacles.

Atslēgas vārdi
Attention, Autonomously moving machine, Cognitive robotics, Context, Fuzzy situational control
DOI
10.1016/j.procs.2019.01.128
Hipersaite
https://www.sciencedirect.com/science/article/pii/S1877050919301358?via%3Dihub

Kargin, A., Panchenko, S., Vasiļjevs, A., Petrenko, T. Implementation of Cognitive Perception Functions in Fuzzy Situational Control Model. No: Procedia Computer Science. Vol.149: ICTE in Transportation and Logistics 2018 (ICTE 2018), Lietuva, Klaipeda, 1.-1. janvāris, 2018. Amsterdam: Elsevier B.V., 2019, 231.-238.lpp. ISSN 1877-0509. Pieejams: doi:10.1016/j.procs.2019.01.128

Publikācijas valoda
English (en)