Development of control algorithm for autonomous intelligent robotic complex (AIRTC)

Development of control algorithm for autonomous intelligent robotic complex (AIRTC)

Igor A. Kozulin
PhD in Physics and Mathematics, Higher College of Informatics at Novosibirsk State University (HCI NSU), Deputy Director, 3, Russkaya ul., Novosibirsk, 630058, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0001-7961-5531

Andrey N. Chernyavskiy
HCI NSU, Department of Intelligent Systems of Thermophysics, Assistant, 3, Russkaya ul., Novosibirsk, 630058, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Alexander D. Nazarov
Doctor of Technical Sciences, HCI NSU, Department of Intelligent Systems of Thermophysics, Associate Professor, 3, Russkaya ul., Novosibirsk, 630058, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Received April 26, 2023

Abstract
The work is dedicated to the development of a control algorithm for the autonomous intelligent robotic complex (AIRTC). The unmanned ground vehicle consists of a corpus that contains batteries, motor wheels, sensors, video cameras, on-board computer for processing data from sensors and video cameras. The general dimensions of the autonomous mobile robotic platform are 780x650x550 mm. The small size of the mobile platform allows it to be used in small areas, where the use of other vehicles is economically unprofitable. The key role in the autonomous mode of operation of the robotic complex is intended to the use of machine learning technologies to realize the possibility of performing the task assigned to the autonomous robotic platform in indoor and outdoor areas. An algorithm has been developed to control the basic platform of an autonomous robotic technical complex and to detect key obstacles automatically using a neural network. The accuracy of detecting the eight designated classes of obstacles was 85%.

Key words
Unmanned ground vehicle, artificial Intelligence, deep learning.

Acknowledgements
The work was supported by the Innovation Assistance foundation «Start» program, contract 115ГС1ЦТС10-D5/61788 from 19.10.2020 to 18.03.2022, robotics and sensorics.

DOI
0.31776/RTCJ.12106

Bibliographic description
Kozulin, I.A., Chernyavskiy, A.N. and Nazarov, A.D. (2024), "Development of control algorithm for autonomous intelligent robotic complex (AIRTC)", Robotics and Technical Cybernetics, vol. 12, no. 1, pp. 46-54, DOI: 10.31776/RTCJ.12106. (in Russian).

UDC identifier
62-51

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