Physical-Parameter-Free Learning of Inverse Dynamics for Multi-DOF Industrial Robots via Sparsity and Feature Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10846-022-01633-0.pdf
Reference52 articles.
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4. Jubien, A., Gautier, M., Janot, A: Dynamic identification of the Kuka LightWeight robot: Comparison between actual and confidential Kuka's parameters. In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics. pp. 483–488. (2014)
5. Atkeson, C.G., An, C.H., Hollerbach, J.M.: Estimation of inertial parameters of manipulator loads and links. The International Journal of Robotics Research. 5(3), 101–119 (1986)
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