Machine learning-based framework for optimally solving the analytical inverse kinematics for redundant manipulators

Vu, MN ORCID: 0000-0003-0692-8830, Beck, F, Schwegel, M, Hartl-Nesic, C, Nguyen, A and Kugi, A (2023) Machine learning-based framework for optimally solving the analytical inverse kinematics for redundant manipulators. Mechatronics, 91. p. 102970.

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Item Type:	Article
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	16 Mar 2023 09:11
Last Modified:	01 May 2023 02:57
DOI:	10.1016/j.mechatronics.2023.102970
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3169127