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Performance Optimization of Robotic Polishing System with a 3-DOF End-Effector Using Trajectory Planning Method

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Intelligent Robotics and Applications (ICIRA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14271))

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Abstract

A robotic polishing system is usually composed of an industrial robot (macro-robot) and an end-effector (micro-robot), called a macro-micro robotic system. The macro-robot is mainly responsible for path tracking, while the micro-robot implements force control for polishing. This combination has the advantages of large workspace and fast response. However, the traditional end-effector usually has only one degree of freedom (DOF). It can hardly provide optimization space for trajectory planning of the macro-robot, which affects the polishing quality to some extent. Therefore, we developed a 3-DOF end-effector to compensate for the motion of the macro-robot, especially for curved surface polishing. The trajectory planning is modeled as an optimal control problem, and Gauss pseudospectral method is used as the corresponding solution strategy. Finally, in polishing simulations of the arc path, the 3-DOF end-effector is proved to be superior to the traditional 1-DOF one in trajectory planning.

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References

  1. Ochoa, H., Cortesao, R.: Impedance control architecture for robotic-assisted mold polishing based on human demonstration. IEEE Trans. Industr. Electron. 69, 3822–3830 (2021)

    Article  Google Scholar 

  2. Tian, F., Lv, C., Li, Z., Liu, G.: Modeling and control of robotic automatic polishing for curved surfaces. CIRP J. Manuf. Sci. Technol. 14, 55–64 (2016)

    Article  Google Scholar 

  3. Xiao, M., Ding, Y., Yang, G.: A model-based trajectory planning method for robotic polishing of complex surfaces. IEEE Trans. Autom. Sci. Eng. 19(4), 2890–2903 (2021)

    Article  Google Scholar 

  4. Yang, G., Zhu, R., Fang, Z., Chen, C.Y., Zhang, C.: Kinematic design of a 2R1T robotic end-effector with flexure joints. IEEE Access 8, 57204–57213 (2020)

    Article  Google Scholar 

  5. Mohammad, A.E.K., Hong, J., Wang, D.: Design of a force-controlled end-effector with low-inertia effect for robotic polishing using macro-mini robot approach. Robot. Comput.-Integr. Manuf. 49, 54–65 (2018)

    Article  Google Scholar 

  6. Chen, F., Zhao, H., Li, D., Chen, L., Tan, C., Ding, H.: Contact force control and vibration suppression in robotic polishing with a smart end effector. Robot. Comput.-Integr. Manuf. 57, 391–403 (2019)

    Article  Google Scholar 

  7. Van Damme, M., et al.: Estimating robot end-effector force from noisy actuator torque measurements. In: 2011 IEEE International Conference on Robotics and Automation, pp. 1108–1113. IEEE (2011)

    Google Scholar 

  8. Chertopolokhov, V., Andrianova, O., Hernandez-Sanchez, A., Mireles, C., Poznyak, A., Chairez, I.: Averaged sub-gradient integral sliding mode control design for cueing end-effector acceleration of a two-link robotic arm. ISA Trans. 133, 134–146 (2023)

    Article  Google Scholar 

  9. Li, Y., Chen, W., Yang, L.: Multistage linear gauss pseudospectral method for piecewise continuous nonlinear optimal control problems. IEEE Trans. Aerosp. Electron. Syst. 57(4), 2298–2310 (2021)

    Article  Google Scholar 

  10. Pieper, D.L.: The Kinematics of Manipulators Under Computer Control. Stanford University (1969)

    Google Scholar 

  11. Garg, D., Patterson, M., Hager, W.W., Rao, A.V., Benson, D.A., Huntington, G.T.: A unified framework for the numerical solution of optimal control problems using pseudospectral methods. Automatica 46(11), 1843–1851 (2010)

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgment

This work was supported by National Key Research and Development Program of China (2022YFB4702500), the Key Research and Development Program of Zhejiang Province (2022C01101, 2022C01096), the Natural Science Foundation of Zhejiang Province (LD22E050007) and the Ningbo Key Project of Scientific and Technological Innovation 2025 (2022Z037, 2021Z020, 2022Z065).

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Correspondence to Chin-Yin Chen .

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Zhou, Y., Chen, CY., Yang, G., Zhang, C. (2023). Performance Optimization of Robotic Polishing System with a 3-DOF End-Effector Using Trajectory Planning Method. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14271. Springer, Singapore. https://doi.org/10.1007/978-981-99-6495-6_28

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  • DOI: https://doi.org/10.1007/978-981-99-6495-6_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6494-9

  • Online ISBN: 978-981-99-6495-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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