Published October 21, 2023 | Version v1
Journal Open

Mobile Robot Position Determining Using Odometry Method

Authors/Creators

  • 1. Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
  • 2. The separate structural subdivision Kharkiv Professional College of Information Technologies of the National Aerospace University named after M. E. Zhukovsky "Kharkiv Aviation Institute"

Description

In this article, the authors propose an analysis of the cumulative error of robot movement. We are considering a two-wheeled robot based on an Arduino board with three ultrasonic rangefinders. The position of the mobile robot is calculated using the odometry method. Experiments were carried out on various coatings. And the calculated position of the robot was compared with the real one. When writing a mobile robot control program, it is proposed to take these results into account.

Files

227-234 Vladyslav Basiuk.pdf

Files (403.3 kB)

Name Size Download all
md5:52660fbc4970307c987bd9a0988eb58c
403.3 kB Preview Download

Additional details

References

  • 1. Attar, H., Abu-Jassar, A. T., Yevsieiev, V., Lyashenko, V., Nevliudov, I., & Luhach, A. K. (2022). Zoomorphic mobile robot development for vertical movement based on the geometrical family caterpillar. Computational Intelligence and Neuroscience, 2022.
  • 2. Maksymova, S., & et al.. (2017). Voice Control for an Industrial Robot as a Combination of Various Robotic Assembly Process Models. Journal of Computer and Communications, 5, 1-15.
  • 3. Khan, A., & et al.. (2015). Some Effect of Chemical Treatment by Ferric Nitrate Salts on the Structure and Morphology of Coir Fibre Composites. Advances in Materials Physics and Chemistry, 5(1), 39-45.
  • 4. Attar, H., & et al.. (2022). Control System Development and Implementation of a CNC Laser Engraver for Environmental Use with Remote Imaging. Computational Intelligence and Neuroscience, 2022.
  • 5. Abu-Jassar, A. T., & et al.. (2022). Electronic user authentication key for access to HMI/SCADA via unsecured internet networks. Computational Intelligence and Neuroscience, 2022.
  • 6. Nevliudov, I., & et al.. (2020). Development of a cyber design modeling declarative Language for cyber physical production systems. J. Math. Comput. Sci., 11(1), 520-542.
  • 7. Panigrahi, Prabin Kumar, & et al. (2022). Localization strategies for autonomous mobile robots: A review. Journal of King Saud University-Computer and Information Sciences, 34(8) 6019-6039.
  • 8. Baker, J. H., & et al.. (2021). Some interesting features of semantic model in Robotic Science. SSRG International Journal of Engineering Trends and Technology, 69(7), 38-44.
  • 9. Abu-Jassar, A. T., & et al.. (2021). Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems. TEM Journal: Technology, Education, Management, Informatics, 10(4), 1645-1654.
  • 10. Al-Sharo, Y. M., & et al.. (2021). Neural Networks As A Tool For Pattern Recognition of Fasteners. International Journal of Engineering Trends and Technology, 69(10), 151-160.
  • 11. Abu-Jassar, A. T., & et al.. (2023). Access Control to Robotic Systems Based on Biometric: The Generalized Model and its Practical Implementation. International Journal of Intelligent Engineering & Systems, 16(5), 313-328.
  • 12. Lyashenko, V., Tahseen, A. J. A., Yevsieiev, V., & Maksymova, S. (2023). Automated Monitoring and Visualization System in Production. Int. Res. J. Multidiscip. Technovation, 5(6), 09-18.
  • 13. Al-Sharo, Y. M., Abu-Jassar, A. T., Sotnik, S., & Lyashenko, V. (2023). Generalized Procedure for Determining the Collision-Free Trajectory for a Robotic Arm. Tikrit Journal of Engineering Sciences, 30(2), 142-151.
  • 14. Sotnik, S., & et al.. (2020). Some features of route planning as the basis in a mobile robot. International Journal of Emerging Trends in Engineering Research, 8(5), 2074-2079.
  • 15. Yang, Ping, & et al. (2020). Plane kinematic calibration method for industrial robot based on dynamic measurement of double ball bar. Precision Engineering, 62, 265-272.
  • 16. Wang, R., & et al. (2020). A point and distance constraint based 6R robot calibration method through machine vision. Robotics and Computer-Integrated Manufacturing, 65, 101959.