[1] Escande, C., Chettibi, T., Merzouki, R., Coelen, V., Pathak, P.M.: Kinematic calibration of a multisection bionic manipulator. IEEE/ASME Trans. Mechatron. 20, 663–674 (2015). https://doi.org/10.1109/TMECH.2014.2313741

[2] Klimchik, A., Wu, Y., Abba, G., Garnier, S., Furet, B., Pashkevich, A.: Robust algorithm for calibration of robotic manipulator model. IFAC Proc. 46(9), 808–812 (2013). https://doi.org/10.3182/20130619-3-ru-3018.00449

[3] Jing, W., Tao, P.Y., Yang, G., Shimada, K.: Calibration of industry robots with consideration of loading effects using Product-Of-Exponential (POE) and Gaussian Process (GP). In: IEEE International Conference on Robotics and Automation (ICRA), pp. 4380–4385. IEEE (2016)

[4] Klimchik, A., Caro, S., Pashkevich, A.: Optimal pose selection for calibration of planar anthropomorphic manipulators. Precis. Eng. 40, 214–229 (2015). https://doi.org/10.1016/j.precisioneng.2014.12.001

[5] Wu, Y., Klimchik, A., Caro, S., Furet, B., Pashkevich, A.: Geometric calibration of industrial robots using enhanced partial pose measurements and design of experiments. Robot. Comput. Integr. Manuf. 35, 151–168 (2015). https://doi.org/10.1016/j.rcim.2015.03.007

[6] Bai, Y., Wang, D.: On the comparison of an interval Type-2 Fuzzy interpolation system and other interpolation methods used in industrial modeless robotic calibrations. In: 2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), pp. 1–6. IEEE (2016) https://doi.org/10.1109/civemsa.2016.7524323

[7] Borrmann, C., Wollnack, J.: Calibration of external linear robot axes using spline interpolation. In: Proceedings of 2014 International Conference on Modelling, Identification & Control, pp. 111–116. IEEE (2015) https://doi.org/10.1109/icmic.2014.7020737

[8] Bai, Y., Smith, J.C., Zhuang, H., Wang, D.: Calibration of parallel machine tools using fuzzy interpolation method. In: IEEE International Conference on Technologies for Practical Robot Application, pp. 56–61. IEEE (2008)

[9] Bai Y., Wang D.: Fuzzy logic for robots calibration — using fuzzy interpolation technique in modeless robot calibration. In: Bai Y., Zhuang H., Wang D. (eds.) Advanced Fuzzy Logic Technologies in Industrial Applications. Advances in Industrial Control. Springer, London (2006). https://doi.org/10.1007/978-1-84628-469-4_20

[10] Bai, Y., Zhuang, H.: On the comparison of model-based and modeless robotic calibration based on the fuzzy interpolation technique. In: IEEE Conference on Robotics, Automation and Mechatronics, 2004, pp. 892–897. IEEE (2005) https://doi.org/10.1109/ramech.2004.1438036

[11] Bai, Y., Zhuang, H.: On the comparison of bilinear, cubic spline, and fuzzy interpolation techniques for robotic position measurements. IEEE Trans. Instrum. Meas. 54, 2281–2288 (2005). https://doi.org/10.1109/TIM.2005.858563

[12] Ying Bai, Dali Wang, On the comparison of interpolation techniques for robotic position compensation. In: SMC’03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme-System Security and Assurance (Cat. No. 03CH37483) 4, pp. 3384–3389. IEEE (2004) https://doi.org/10.1109/icsmc.2003.1244412

[13] Huu, T.N., Quoc, K.D., Thu, T.L.T., Thanh, L.P.: A solution to adjust kinetic of industrial robots based on alternative trajectories. In: Sattler, K.-U., Nguyen, D.C., Vu, N.P., Tien Long, B., Puta, H. (eds.) ICERA 2019. LNNS, vol. 104, pp. 55–65. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-37497-6_6