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Measurement and Application of Industrial Robot Jitter

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Intelligent Robotics and Applications (ICIRA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14274))

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Abstract

Industrial robots are widely used in automobile and auto parts manufacturing, mechanical processing industry, electronic and electrical industry, rubber and plastic industry and many other critical areas. The jitter of robots during the operation process may lead to the severe decline in important parameters such as positioning accuracy and trajectory accuracy, which is destructive for fine work such as welding, laser cutting, grinding, and polishing. The jitter characteristic is an important indicator for evaluating the comprehensive performance of industrial robots, and it is an urgent issue to be solved.

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References

  1. GB/T 12642-2013: Industrial robots-performance criteria and related test methods (2013)

    Google Scholar 

  2. Huinong, H., Liansheng, H.: Progress of industrial robot performance testing. J. China Jiliang Univ. 28(2), 134–140 (2017)

    Google Scholar 

  3. Maolin, W., Benwang, L., Yue, G., Yujiao, Y.: Experimental study on the influence mechanism of industrial robot performance Machine Tool & Hydraulics, 2020.8.15 (2018)

    Google Scholar 

  4. Zu, H., Chen, Z., Fan, K., Zhang, X.: Industrial Robot Performance Testing Technology. Zhejiang University Press (2019)

    Google Scholar 

  5. Utsuno, H., Isomura, K., Matsuhisa, H.: Acceleration and deceleration pattern to suppress residual vibration of the robot arm. The Japan Society of Mechanical Engineers. In: The Proceedings of the Dynamics & Design Conference. Japan: The Japan Society of Mechanical Engineers, 2010, pp. 371–379 (2010)

    Google Scholar 

  6. Gao, Z.H., Bian, Y.S.: Resonance analysis of manipulators with flexible link and flexible joint. Adv. Mater. Res. 2012(383–390), 2868–2874 (2012)

    Google Scholar 

  7. Chen, Y., Fan, K., Tan, J.: Research on end jitter of industrial six-axis robot. Lab. Res. Explor. 38(12), 44–47 (2019) https://doi.org/10.3969/j.issn.1006-7167.2019.12.011

  8. Kuric, I., Tlach, V., Císar, M., Ságová, Z., Zajačko, I.: Examination of industrial robot performance parameters utilizing machine tool diagnostic methods. Int. J. Adv. Rob. Syst. (2020)

    Google Scholar 

  9. Gourishankar, M., Ruby, M., Shubham, S.: Real-time vibration analysis of a robotic arm designed for CT image guided diagnostic procedures. In: Kumar, M., Pandey, R.K., Kumar, V. (eds.) Advances in Interdisciplinary Engineering, pp. 163–171. Springer, Singapore (2019)

    Google Scholar 

  10. Tao, W., Zhang, M., Liu, M.: Residual vibration analysis and suppression for SCARA robot arm in semiconductor manufacturing. In: IEEE. 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, Piscataway, pp. 5153–5158. IEEE (2007)

    Google Scholar 

  11. Liang, D., Song, Y., Qi, Y.: Efficient modeling and integrated control for tracking and vibration of a lightweight parallel manipulator including servo motor dynamics. Mech. Syst. Signal Process. 153, 107502 (2021)

    Google Scholar 

  12. Hearne, J.: Posture Dependent Vibration Resistance of Serial Robot Manipulators to Applied Oscillating Loads. University of Waterloo (2010)

    Google Scholar 

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Acknowledgment

This work was supported by the “2022 Foshan Science and Technology Innovation Project” (No.:2220001005535) and “Ningbo High tech Zone 2021 Major Science and Technology Special Project (Major Technological Innovation Project)” (No.: 2021DCX050012).

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Correspondence to Zhangwei Chen .

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Li, J. et al. (2023). Measurement and Application of Industrial Robot Jitter. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14274. Springer, Singapore. https://doi.org/10.1007/978-981-99-6501-4_32

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  • DOI: https://doi.org/10.1007/978-981-99-6501-4_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6500-7

  • Online ISBN: 978-981-99-6501-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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