Authors : Evgeniy A. Titenko, Aleksandr V. Grivachev, Vadim O. Avdeev, Sergey N. Frolov, Victor V. Panov and Alexey I. Pykhtin
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.
Evgeniy A. Titenko, Aleksandr V. Grivachev, Vadim O. Avdeev, Sergey N. Frolov, Victor V. Panov and Alexey I. Pykhtin, 2019. Combined Processing of Geospatial and Symbolic Information for Mobile Robots. Journal of Engineering and Applied Sciences, 14: 6788-6790.