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Shock and Vibration
Volume 2016, Article ID 6954012, 15 pages
Research Article

Vibration Suppression for Improving the Estimation of Kinematic Parameters on Industrial Robots

1CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, Colonia San Cayetano, 76807 San Juan del Rio, QRO, Mexico
2CA Procesamiento Digital de Señales, CA Telematica, Division de Ingenierias, Universidad de Guanajuato, Campus Irapuato-Salamanca, Carretera Salamanca-Valle km 3.5+1.8, Comunidad de Palo Blanco, 36700 Salamanca, GTO, Mexico

Received 12 December 2015; Revised 28 February 2016; Accepted 6 March 2016

Academic Editor: Konstantinos N. Gyftakis

Copyright © 2016 David Alejandro Elvira-Ortiz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Ahmed R. J. Almusawi, L. Canan Dülger, and Sadettin Kapucu, “A New Artificial Neural Network Approach in Solving Inverse Kinematics of Robotic Arm (Denso VP6242),” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–10, 2016. View at Publisher · View at Google Scholar
  • K Foit, W Banaś, A Gwiazda, and G Ćwikła, “The influence of computer-generated path on the robot’s effector stability of motion,” IOP Conference Series: Materials Science and Engineering, vol. 227, pp. 012045, 2017. View at Publisher · View at Google Scholar