Evgeniy A.  Titenko, Aleksandr  V. Grivachev, Vadim O.  Avdeev, Sergey  N. Frolov, Victor V.  Panov, Alexey I.  Pykhtin, 
    Combined Processing of Geospatial and Symbolic Information for Mobile Robots,
    Journal of Engineering and Applied Sciences,
    Volume 14,Issue 18,
    2019,
    Pages 6788-6790,
    ISSN 1816-949x,
    jeasci.2019.6788.6790,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2019.6788.6790)
    Abstract: In the study the researchers consider the computational processes for processing geospatial and
symbolic information. The modern mobile robot uses such information for analyzing cartographic information
and independent decision making. Combining geospatial and symbolic information increases the intellectual
capabilities of the mobile robot. The imposition of hierarchical graphical objects of the external environment and
the values of the attributes of such objects allows us to construct for mobile robots a compact model of the
external environment. This property is the basis for parallel computing using of the data flow model.
    Keywords: Geoinformation data;symbolic computing;mobile robot;data flow model;graphical objects;data
flow model