ANN Approach for SCARA Robot Inverse Kinematics Solutions with Diverse Datasets and Optimisers
References
- S. Kucuk and Z. Bingul, Robot Kinematics: Forward and Inverse Kinematics. INTECH Open Access Publisher London, UK, 2006. https://doi.org/10.5772/5015
- R. Singh, V. Kukshal, and V. S. Yadav, “A review on forward and inverse kinematics of classical serial manipulators,” in Advances in Engineering Design. Lecture Notes in Mechanical Engineering, P.K. Rakesh, A.K. Sharma, I. Singh, Eds. Springer, Singapore, 2021, pp. 417–428. https://doi.org/10.1007/978-981-33-4018-3_39
- A. Aristidou, J. Lasenby, Y. Chrysanthou, and A. Shamir, “Inverse kinematics techniques in computer graphics: A survey,” in Computer Graphics Forum, vol. 37, no. 6, Sep. 2018, pp. 35–58. https://doi.org/10.1111/cgf.13310
- A. El-Sherbiny, M. A. Elhosseini, and A. Y. Haikal, “A comparative study of soft computing methods to solve inverse kinematics problem,” Ain Shams Engineering Journal, vol. 9, no. 4, pp. 2535–2548, Dec. 2018. https://doi.org/10.1016/j.asej.2017.08.001
- J. Narayan, E. Singla, S. Soni, and A. Singla, “Adaptive neuro-fuzzy inference system–based path planning of 5-degrees-of-freedom spatial manipulator for medical applications,” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 232, no. 7, pp. 726–732, June 2018. https://doi.org/10.1177/0954411918781418
- A. Aristidou and J. Lasenby, “Fabrik: A fast, iterative solver for the inverse kinematics problem,” Graphical Models, vol. 73, no. 5, pp. 243– 260, Sep. 2011. https://doi.org/10.1016/j.gmod.2011.05.003
- S. Koceski and G. Vladimirov, “Inverse kinematics solution of a robot arm based on adaptive neuro fuzzy interface system,” International Journal of Computer Applications, vol. 178, no. 39, pp. 10–14, Aug. 2019. https://doi.org/10.5120/ijca2019919268
- R. Gao, “Inverse kinematics solution of robotics based on neural network algorithms,” Journal of Ambient Intelligence and Humanized Computing, vol. 11, no. 12, pp. 6199–6209, Mar. 2020. https://doi.org/10.1007/s12652-020-01815-4
- A. A. Hassan, M. El-Habrouk, and S. Deghedie, “Inverse kinematics of redundant manipulators formulated as quadratic programming optimization problem solved using recurrent neural networks: A review,” Robotica, vol. 38, no. 8, pp. 1495–1512, Aug. 2020. https://doi.org/10.1017/S0263574719001590
- S. Habibkhah and R. V. Mayorga, “The computation of the inverse kinematics of a 3 DOF redundant manipulator via an ANN approach and a virtual function,” in ICINCO, vol. 1, 2020, pp. 471–477. https://doi.org/10.5220/0009834904710477
- S. K. Shah, R. Mishra, and L. S. Ray, “Solution and validation of inverse kinematics using deep artificial neural network,” Materials Today: Proceedings, vol. 26, no. 2, pp. 1250–1254, 2020. https://doi.org/10.1016/j.matpr.2020.02.250
- N. Wagaa, H. Kallel, and N. Mellouli, “Analytical and deep learning approaches for solving the inverse kinematic problem of a high degrees of freedom robotic arm,” Engineering Applications of Artificial Intelligence, vol. 123, Part B, Aug. 2023, Art. no. 106301. https://doi.org/10.1016/j.engappai.2023.106301
- R. Bouzid, H. Gritli, and J. Narayan, “Investigating feed-forward back-propagation neural network with different hyperparameters for inverse kinematics of a 2-DoF robotic manipulator: A comparative study,” Chaos Theory and Applications, vol. 6, no. 2, pp. 90–110, Jun. 2024. https://doi.org/10.51537/chaos.1375866
- J. Fang and W. Li, “Four degrees of freedom SCARA robot kinematics modeling and simulation analysis,” International Journal of Computer, Consumer and Control, vol. 2, no. 4, pp. 20–27, 2013.
- M. Uk, F. Sajjad Ali Shah, M. Soyaslan, and O. Eldogan, “Modeling, control, and simulation of a SCARA PRR-type robot manipulator,” Scientia Iranica, vol. 27, no. 1, pp. 330–340, 2020.
- P. Jha and B. Biswal, “A neural network approach for inverse kinematic of a SCARA manipulator,” IAES International Journal of Robotics and Automation, vol. 3, no. 1, 2014, Art. no. 52. https://doi.org/10.11591/ijra.v3i1.3201
- J. Narayan and A. Singla, “ANFIS based kinematic analysis of a 4-DOFs SCARA robot,” in 2017 4th International Conference on Signal Processing, Computing and Control (ISPCC), Solan, India, Sep. 2017, pp. 205–211. https://doi.org/10.1109/ISPCC.2017.8269676
- J. Demby’s, Y. Gao, and G. N. DeSouza, “A study on solving the inverse kinematics of serial robots using artificial neural network and fuzzy neural network,” in 2019 IEEE international conference on fuzzy systems (FUZZ-IEEE), New Orleans, LA, USA, Jun. 2019, pp. 1–6. https://doi.org/10.1109/FUZZ-IEEE.2019.8858872
- E. Jiménez-López, D. S. De La Mora-Pulido, L. A. Reyes-Ávila, R. S. De La Mora-Pulido, J. Melendez-Campos, and A. A. López-Martínez, “Modeling of inverse kinematic of 3-DOF robot, using unit quaternions and artificial neural network,” Robotica, vol. 39, no. 7, pp. 1230–1250, Jan. 2021. https://doi.org/10.1017/S0263574720001071
- A. Ranganathan, “The Levenberg-Marquardt algorithm,” Tutorial on LM algorithm, vol. 11, no. 1, pp. 101–110, 2004.
- M. Kayri, “Predictive abilities of Bayesian regularization and Levenberg-Marquardt algorithms in artificial neural networks: a comparative empirical study on social data,” Mathematical and Computational Applications, vol. 21, no. 2, May 2016, Art. no. 20. https://doi.org/10.3390/mca21020020
- J. Narayan and S. K. Dwivedy, “Biomechanical study and prediction of lower extremity joint movements using Bayesian regularization-based backpropagation neural network,” Journal of Computing and Information Science in Engineering, vol. 22, no. 1, Jul. 2022, Art. no. 014503. https://doi.org/10.1115/1.4051599
- M. F. Møller, “A scaled conjugate gradient algorithm for fast supervised learning,” Neural Networks, vol. 6, no. 4, pp. 525–533, 1993. https://doi.org/10.1016/S0893-6080(05)80056-5
Language: English
Page range: 24 - 34
Submitted on: Jan 8, 2024
Accepted on: Jul 12, 2024
Published on: Aug 15, 2024
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Related subjects:
© 2024 Rania Bouzid, Hassène Gritli, Jyotindra Narayan, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.