An analytical and a Deep Learning model for solving the inverse kinematic problem of an industrial parallel robot

Author:

Toquica Juan S.,Oliveira Patrícia S.,Souza Witenberg S.R.,Motta José Maurício S.T.,Borges Díbio L.

Funder

Fundação de Apoio à Pesquisa do Distrito Federal

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference42 articles.

1. A new artificial neural network approach in solving inverse kinematics of robotic arm (denso vp6242);Almusawi;Computational Intelligence and Neuroscience,2016

2. Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more;Atienza,2018

3. Articulated figure positioning by multiple constraints;Badler;IEEE Computer Graphics and Applications,1987

4. Buss, S. R. (2004). Introduction to inverse kinematics with jacobian transpose, pseudoinverse and damped least squares methods. IEEE Journal of Robotics and Automation 17, 16. http://graphics.cs.cmu.edu/nsp/course/15-464/Spring11/handouts/iksurvey.pdf.

5. Configuration optimization for manipulator kinematic calibration based on comprehensive quality index;Chen;IEEE Access,2019

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