Autors: Slavov, D. V.
Title: Object Size Estimation with Industrial Robot Gripper Using Neural Network and Machine Learning
Keywords: industrial robot, gripper, artificial intelligence, machine

Abstract: This paper describes a research in finding and improving a method for object size estimation by the means of electric gripper and without visual aid in industrial robotic settings. Several models for size prediction utilizing machine learning of a neural network are investigated. The best performing model is chosen for testing its practical usability in pick-and-place sorting tasks. The used methodology as well as the resulting achievements are registered and presented. Finally, the degree of success is analyzed and future steps of improvement are proposed.

References

    Issue

    IEEE International Conference Automatics and Informatics, 2020, Bulgaria, Institute of Electrical and Electronics Engineers Inc., DOI 10.1109/ICAI50593.2020.9311319

    Цитирания (Citation/s):
    1. Marin Zhilevski, Mikho Mikhov, Madlena Zhilevska, Productivity Improvement in a Class of CNC Machine Tools, Automatics and Informatics (ICAI) 2021 International Conference, pp. 214-218, 2021, https://ieeexplore.ieee.org/document/9639792 - 2021 - в издания, индексирани в Scopus или Web of Science
    2. 2.2. Boris Kostov, IMPLEMENTATION OF BARCODES DATA TRANSFER TO MELFA ROBOTS, Proceedings of the Technical University of Sofia, vol. 71, 2021, https://e-university.tu-sofia.bg/e-conf/files/169/paper_10.47978@TUS.2021.71.03.001.pdf - 2021 - в български издания
    3. F. Nagata, K. Miki, K. Watanabe and M. K. Habib, Visual Feedback Control and Transfer Learning-Based CNN for a Pick and Place Robot on a Sliding Rail, 2021 IEEE International Conference on Mechatronics and Automation (ICMA), 2021, pp. 697-702, doi: 10.1109/ICMA52036.2021.9512777 - 2021 - в издания, индексирани в Scopus или Web of Science
    4. Boris Kostov, Vladimir Hristov, Improved algorithm for increasing efficiency in capturing and orienting an object with a 6-axle robot and a 2D camera for visual inspection, AIP Conference Proceedings, Volume 2449, Article number 020005, 2022, ISBN 978-073544397-6, DOI 10.1063/5.0091064, https://aip.scitation.org/doi/abs/10.1063/5.0091064 - 2022 - в издания, индексирани в Scopus или Web of Science
    5. V. Hristov, B. Kostov, "Application of Machine Learning for Improving the Algorithm for Capturing, Orienting and Placing an Object with 6-Axis Robot and 2d Visual Inspection Camera," 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 2021, pp. 1-5, doi: 10.1109/HORA52670.2021.9461368, https://ieeexplore.ieee.org/document/9461368. - 2021 - в издания, индексирани в Scopus или Web of Science
    6. M. Schmitz, Machine Learning in Industrial Applications: Insights Gained from Selected Studies, Thesis for Doctoral, Advisor: Michael Amberg, License CC BY-NC 4.0, 2022, https://www.researchgate.net/publication/358145575_Machine_Learning_in_Industrial_Applications_Insights_Gained_from_Selected_Studies. - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    7. B. Kostov, V. Hristov, Implementation of Robot Get-Position-Quick Function to MELFA Robots, 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), DOI: 10.1109/ISMSIT56059.2022.9932661, https://ieeexplore.ieee.org/document/9932661 - 2022 - в издания, индексирани в Scopus или Web of Science
    8. Dilara Yesilbas, Deep Learning in Automatic Optical Inspection - Selected Studies in the Context of an Automotive Supplier, Doctoral Thesis, Advisor: Michael Amberg, LicenseCC BY-NC 4.0, https://www.researchgate.net/publication/365946317_Deep_Learning_in_Automatic_Optical_Inspection_-_Selected_Studies_in_the_Context_of_an_Automotive_Supplier - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    9. B. Kostov, V. Hristov, Optimizing Cycle Time of Industrial Robot for Loading Molding Machine: A Comprehensive Analysis and Optimization Approach, 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Istanbul, Turkiye, 2023, pp. 01-05, doi: 10.1109/HORA58378.2023.10156771. - 2023 - в издания, индексирани в Scopus или Web of Science
    10. Aykut Ismailov, Vladimir Hristov, Simulating a Pobot’s Movement Using Game/Physics Engine, 2023 International Scientific Conference on Computer Science (COMSCI), 2023, DOI: 10.1109/COMSCI59259.2023.10315803 - 2023 - в издания, индексирани в Scopus или Web of Science
    11. K. Hristov, V. Hristov, Servo Drive Control System, 2023 International Scientific Conference on Computer Science (COMSCI), Sozopol, Bulgaria, 2023, pp. 1-6, DOI: 10.1109/COMSCI59259.2023.10315927 - 2023 - в издания, индексирани в Scopus или Web of Science
    12. B. Kostov, V. Hristov, Comparision Between the Performance of Pneumatical and Electrical Grippers for Industrial Robots, 2023 International Scientific Conference on Computer Science (COMSCI), Sozopol, Bulgaria, 2023, pp. 1-5, doi: 10.1109/COMSCI59259.2023.10315853. - 2023 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science