Model approach of a robotic manipulator 3DOF using Machine Learning

  • Darielson Souza Federal University of Ceará
  • Josias Batista Federal University of Ceará
  • Laurinda Reis Federal University of Ceará
  • Antonio de Souza Junior Federal University of Ceará


Applications of robotics have been steadily expanding in recent years, and robotics is evolving every day. Currently, robotics is seen as an important area in many applications. Robotics and computational intelligence are increasingly working in parallel with the goal of better performance and productivity. This work has the objective of making an modeling of a robotic arm with three phase induction motor through machine learning techniques to obtain a better model that represents the plant. The techniques used were Articial Neural Network (ANNs): MLP and ELM. The techniques obtained a good performance, and they were evaluated through the multi-correlation coecient for a comparative analysis.

How to Cite
SOUZA, Darielson et al. Model approach of a robotic manipulator 3DOF using Machine Learning. Journal on Advances in Theoretical and Applied Informatics, [S.l.], v. 5, n. 1, dec. 2019. ISSN 2447-5033. Available at: <>. Date accessed: 21 jan. 2020. doi: