: pp. 30-35
Lviv Politecnic National University
Lviv Polytechnic National University
Technical University, Ilmenau, Germany

Industrial robots refer to the most complex products of mechanical engineering and electronic equipment in terms of their labor intensity, accuracy, and a class of manufacture as well as quality requirements. Both static and dynamic positioning inaccuracies occur during their operation. Static positioning depends mainly on such parameters as joint axis geometry and angle offset. Non-geometric parameters include compliance (elasticity of joints and bonds), gear form errors (eccentricity and gear errors), gear backlash, and temperature-related expansion. Dynamic positioning is only relevant for large robots that are subject to high speeds and accelerations. Positioning accuracy is affected by the design features of the robot, the control system, the speed of movement and rotation of the manipulator, temperature, and vibrations, both inherent and caused by the robot's location in production. This research examines the sources of positioning inaccuracy and gives recommendations for improving the positioning characteristics of robots.

[1] EN ISO 9283 International standard Manipulating industrial robots - Performance criteria and related test methods/ 1998-04-01. [Online]. Available: https://standards.iteh.ai/catalog/standards/cen/bd6e0b51- df41-44c2-806f-fbd0f53f30de/ en-iso-9283-1998
[2] D. Kumičáková, V. Tlach, M. Císar, Testing the Performance Characteristics of Manipulating Industrial Robots, Transactions of the VŠB - Techn. Un. of Ostrava, Mech. Series 62(1):39-50, Sept. 2016, DOI:10.22223/tr.2016- 1/2009
[3] J. A. Batlle, J. M. Font, J. Escodam. Dynamic positioning of a mobile robot using a laser-based goniometer, [Online]. Available: http://www.cim.mcgill.ca/~font/ downloads/ IAV04.pdf
[4] O. Kokoshko, I. Pytel. «Analysis of influencing factors on the repeatability of robotic systems» III Int. Student Sc. Conf. "Globalization of scientific knowledge: international cooperation and integration of fields of sciences", Dnipro, 2022, pp.108-111. DOI: 10/36074/liga-inter-23/09.
[5] R. Kluz, T. Trzepieciński, The repeatability positioning analysis of the industrial robot arm. Assembly Automation, July 2014, DOI:10.1108/AA-07-2013-070
[6] P. Shiakolas, K. Conrad, T. Yih. On the Accuracy, Repeatability, and Degree of Influence of Kinematics Parameters for Industrial Robots. Int. Journ. of Modelling and Simulation. 2002, Vol. 22. Vo. 3, pp.245-254.
[7] H. Kihlman at all. Metrology-integrated Industrial Robots - Calibration, Implementation, and Testing. In Proc. of 35th ISR (Industrial Symp. on Robotics). Paris-Nord, Villepinte, France. 23-26 March 2004, pp. 130. [Online] Available: http://liu.divaportal.org/smash/get/diva2:471369/FULLTEXT01.pdf (2016-05-2).
[8] [A. Nubiola, I. Bonev, Absolute calibration of an ABB IRB 1600 robot using a laser tracker. Robotics and Computer-Integrated Manufacturing. 2013. Vol. 29, No. 1, pp. 236-245.
[9] S.-Y. King; J.-N. Hwang, Neural network architectures for robotic applications, IEEE Transactions on Robotics and Automation, Volume: 5, Issue: 5, pp.641 - 657, Oct.1989. DOI 10.1109/70.88082.
[10] Peijiang Yuan, Dongdong Chen, Tianmiao Wang, Shuangqian Cao, Ying Cai, and Lei Xue, «A compensation method based on extreme learning machine to enhance absolute position accuracy for aviation drilling robot» Advances in Mechanical Engineering, 2018, Vol. 10 (3), pp.1-11, DOI: 10.1177/1687814018763411 journals.sagepub.com/home/ade.
[11] SIOS, Precision metrology for industry and science, [Online] Available: https://www.sios-precision.com/en/
[12] S. Yatsyshyn, I. Nazarkevych, R. Mastylo, Calibration of the Ultrasonic Sensor-Range Finder by the Laser Interferometer, Measuring Equipment and Metrology, Vol.81, Iss.4. 2020, pp. 10-17. DOI: https://doi.org/ 10.23939/istcmtm2020.04.010