TY  - CONF
AU  - Đokić, L.
AU  - Jokić, Aleksandar
AU  - Petrović, Milica
AU  - Miljković, Zoran
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3640
AB  - Modern intelligent manufacturing systems are dynamic environments with the ability to respond and adapt to various internal and external changes that can occur during the manufacturing process. By default, they imply efficient, reliable, and flexible material handling and transportation system, which can be effectively realized by using intelligent mobile robots. In order to achieve locomotion of an intelligent mobile robot that will minimize the usage of space within the manufacturing environment, we propose the development of a new holonomic mobile robot DOMINO (Deep learning-based Omnidirectional Mobile robot with INtelligentcOntrol). 3D model of holonomic mobile robot prototype is developed in CAD software package SolidWorks, and designed parts are produced with additive manufacturing technology. Single board computer Raspberry Pi 4 and microcontroller board Arduino Mega 2560 are used for motion control of the holonomic mobile robot, while control actions are determined by the defined kinematic model of the omnidirectional wheeled mobile robot. The experimental verification shows that the holonomic mobile robot is capable of following a predetermined path while successfully avoiding obstacles within a laboratory model of a manufacturing environment.
PB  - Springer Science and Business Media Deutschland GmbH
C3  - Lecture Notes in Networks and Systems
T1  - Design and Development of a Holonomic Mobile Robot for Material Handling and Transportation Tasks
EP  - 716
SP  - 709
VL  - 233
DO  - 10.1007/978-3-030-75275-0_78
ER  - 

@conference{
author = "Đokić, L. and Jokić, Aleksandar and Petrović, Milica and Miljković, Zoran",
year = "2021",
abstract = "Modern intelligent manufacturing systems are dynamic environments with the ability to respond and adapt to various internal and external changes that can occur during the manufacturing process. By default, they imply efficient, reliable, and flexible material handling and transportation system, which can be effectively realized by using intelligent mobile robots. In order to achieve locomotion of an intelligent mobile robot that will minimize the usage of space within the manufacturing environment, we propose the development of a new holonomic mobile robot DOMINO (Deep learning-based Omnidirectional Mobile robot with INtelligentcOntrol). 3D model of holonomic mobile robot prototype is developed in CAD software package SolidWorks, and designed parts are produced with additive manufacturing technology. Single board computer Raspberry Pi 4 and microcontroller board Arduino Mega 2560 are used for motion control of the holonomic mobile robot, while control actions are determined by the defined kinematic model of the omnidirectional wheeled mobile robot. The experimental verification shows that the holonomic mobile robot is capable of following a predetermined path while successfully avoiding obstacles within a laboratory model of a manufacturing environment.",
publisher = "Springer Science and Business Media Deutschland GmbH",
journal = "Lecture Notes in Networks and Systems",
title = "Design and Development of a Holonomic Mobile Robot for Material Handling and Transportation Tasks",
pages = "716-709",
volume = "233",
doi = "10.1007/978-3-030-75275-0_78"
}

Đokić, L., Jokić, A., Petrović, M.,& Miljković, Z.. (2021). Design and Development of a Holonomic Mobile Robot for Material Handling and Transportation Tasks. in Lecture Notes in Networks and Systems
Springer Science and Business Media Deutschland GmbH., 233, 709-716.
https://doi.org/10.1007/978-3-030-75275-0_78

Đokić L, Jokić A, Petrović M, Miljković Z. Design and Development of a Holonomic Mobile Robot for Material Handling and Transportation Tasks. in Lecture Notes in Networks and Systems. 2021;233:709-716.
doi:10.1007/978-3-030-75275-0_78 .

Đokić, L., Jokić, Aleksandar, Petrović, Milica, Miljković, Zoran, "Design and Development of a Holonomic Mobile Robot for Material Handling and Transportation Tasks" in Lecture Notes in Networks and Systems, 233 (2021):709-716,
https://doi.org/10.1007/978-3-030-75275-0_78 . .