An Efficient Robot Payload Identification Method Based on Decomposed Motion Experimental Approach
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6495-6_23
Reference12 articles.
1. Khalil, W., Gautier, M., Lemoine, P.: Identification of the payload inertial parameters of industrial manipulators. In: Proceedings of the 2007 IEEE International Conference on Robotics and Automation, Roma, Italy, pp. 4943–4948, April 2007
2. Jiang, J., Zhang, Y.: A revisit to block and recursive least squares for parameter estimation. Comput. Electr. Eng. 30(5), 403–416 (2004)
3. Hu, J., Xiong, R.: Contact force estimation for robot manipulator using semiparametric model and disturbance Kalman filter. IEEE Trans. Ind. Electron. 65(4), 3365–3375 (2017)
4. Jung, J., Lee, J., Huh, K.: Robust contact force estimation for robot manipulators in three-dimensional space. Proc. Inst. Mech. Eng. Part C J. Mech. Eng. Sci. 220(9), 1317–1327 (2006)
5. Rigatos, G.G.: Derivative-free nonlinear Kalman filtering for MIMO dynamical systems: application to multi-DOF robotic manipulators. Int. J. Adv. Robot. Syst. 8(6), 72 (2011)
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