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

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Development of control algorithm for autonomous intelligent robotic complex (AIRTC). / Kozulin, Igor ; Chernyavskiy, Andrey ; Nazarov, Alexander.

In: Robotics and Technical Cybernetics, Vol. 12, No. 1, 6, 01.03.2024, p. 46-54.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{235cc39fb6784eb7b1e4fd6d62983376,

title = "Development of control algorithm for autonomous intelligent robotic complex (AIRTC)",

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%.",

author = "Igor Kozulin and Andrey Chernyavskiy and Alexander Nazarov",

note = "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.",

year = "2024",

month = mar,

day = "1",

doi = "10.31776/RTCJ.12106",

language = "English",

volume = "12",

pages = "46--54",

journal = "Робототехника и техническая кибернетика",

issn = "2310-5305",

publisher = "Центральный научно-исследовательский и опытно-конструкторский институт робототехники и технической кибернетики",

number = "1",

}

RIS

TY - JOUR

T1 - Development of control algorithm for autonomous intelligent robotic complex (AIRTC)

AU - Kozulin, Igor

AU - Chernyavskiy, Andrey

AU - Nazarov, Alexander

N1 - 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.

PY - 2024/3/1

Y1 - 2024/3/1

N2 - 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%.

AB - 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%.

UR - https://www.elibrary.ru/item.asp?id=64907550

UR - https://www.mendeley.com/catalogue/b278391b-e72b-3963-aa2d-7d9cf14bd09c/

U2 - 10.31776/RTCJ.12106

DO - 10.31776/RTCJ.12106

M3 - Article

VL - 12

SP - 46

EP - 54

JO - Робототехника и техническая кибернетика

JF - Робототехника и техническая кибернетика

SN - 2310-5305

IS - 1

M1 - 6

ER -

ID: 61403668