Production Workspace Obstacle Avoidance Mobile Robot Trajectory Modeling

Authors

  • Igor Nevludov Kharkiv National University of Radio Electronics, Ukraine
  • Sergiy Novoselov Kharkiv National University of Radio Electronics, Ukraine
  • Oksana Sychova Kharkiv National University of Radio Electronics, Ukraine
  • Serhii Tesliuk Kharkiv National University of Radio Electronics, Ukraine

DOI:

https://doi.org/10.30837/csitic52021232778

Keywords:

mobile robot, navigation system, optimal way, model, program, C#

Abstract

The paper describes a method for determining the trajectory of a mobile robot inside a production workspace among obstacles. To determine the path of movement, a navigation system is used, which determines the robot's own coordinates, plans the trajectory at the current time and controls its movement. A software tool for modeling the behavior of a mobile robot taking into account the properties of its mechatronic platform is proposed. The model of the adaptive control system of the mobile platform is described. The block diagram of the program for modeling the method of finding the optimal way to move a mobile platform among uncertain obstacles is considered. The simulation results are given.

References

Caruso D., Engel J., CremersD. Large-scale direct slam for omnidirectional cameras //2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 28 - October 2. 2015, Hamburg. Germany. - Hamburg, 2015.-P. 141-148.

Теслюк С.І. Аналіз методів локалізації рухомого об’єкта у виробничих приміщеннях / С.І. Теслюк, Д.В. Мамонько / Матеріали конференції «Автоматизаці., електроніка та робототехніка. Стратегії розвитку та інноваційні технології». 2019. – С. 10-13.

Мамонько Д.В. Розробка програмного для забезпечення керування траєкторією руху мобільної платформи / Збірник студентських наукових статей «Automation and Developed of Electronic Devices» АDED-2020. – 2020. – № 1. – С. 112-117.

ORB-SLAM2 for Monocular, Stereo and RGB-D Cameras [Електронний ресурс]. – Електрон. текстові дані. – Режим доступу: https://webdiis.unizar.es/~raulmur/orbslam/

Rituerto A. Visual SLAM with an omnidirectional camera // 2010 20th International Conference on Pattern Recognition CPR2010, 23-26 August 2010, Istanbul. Turkey: Proceedings. - Istanbul, 2010. - P. 348-351.

Nevludov, O. Sychova, A. Andrusevich, S. Novoselov, D. Mospan and V. Mospan, "Simulation of the Sensor Network of Base Stations in a Local Positioning System in Intelligent Industries," 2020 IEEE Problems of Automated Electrodrive. Theory and Practice (PAEP), Kremenchuk, Ukraine, 2020, pp. 1-6

S. Novoselov, O. Donskov, “Distributed Local Positioning System Using DWM1000 Location Chip,” 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T), Kharkiv, 2017, pp. 489-492.

S. P. Novoselov, O. N. Donskov, “Study of Mobile Device Wireless Control Technology in the Visible Range of the Electromagnetic Radiation,” Third International Scientific-Practical Conference Problems of Infocommunications Science and Technology (PIC S &T), Kharkiv, 2016, pp. 123-124.

S. Novoselov, O. Sychova and S. Tesliuk, "Development of the Method Local Navigation of Mobile Robot a Based on the Tags with QR Code and Wireless Sensor Network," 2019 IEEE XVth International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH), Polyana, Ukraine, 2019, pp. 46-51.

Published

2021-05-30