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The Scientific World Journal
Volume 2013 (2013), Article ID 139738, 10 pages
http://dx.doi.org/10.1155/2013/139738
Research Article

IMU-Based Online Kinematic Calibration of Robot Manipulator

School of Computer Science & Engineering, South China University of Technology, Guangzhou 510006, China

Received 5 August 2013; Accepted 12 September 2013

Academic Editors: Y. Lu and M. Strojnik

Copyright © 2013 Guanglong Du and Ping Zhang. 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 [7 citations]

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

  • Chengyang Du, Xiaodong Chen, Yi Wang, Junwei Li, and Daoyin Yu, “An Adaptive 6-DOF Tracking Method by Hybrid Sensing for Ultrasonic Endoscopes,” Sensors, vol. 14, no. 6, pp. 9961–9983, 2014. View at Publisher · View at Google Scholar
  • Ping Zhang, Guanglong Du, and Di Li, “Online robot calibration based on hybrid sensors using Kalman Filters,” Robotics and Computer-Integrated Manufacturing, vol. 31, pp. 91–100, 2015. View at Publisher · View at Google Scholar
  • J. Conte, J. Santolaria, A.C. Majarena, and R. Acero, “Modelling, kinematic parameter identification and sensitivity analysis of a Laser Tracker having the beam source in the rotating head,” Measurement, 2016. View at Publisher · View at Google Scholar
  • Guanglong Du, Hengkang Shao, Yanjiao Chen, Ping Zhang, and Xin Liu, “An online method for serial robot self-calibration with CMAC and UKF,” Robotics and Computer-Integrated Manufacturing, vol. 42, pp. 39–48, 2016. View at Publisher · View at Google Scholar
  • Yunhan Lin, Huasong Min, and Hongxing Wei, “Inertial measurement unit-based iterative pose compensation algorithm for low-cost modular manipulator,” Advances In Mechanical Engineering, vol. 8, no. 1, 2016. View at Publisher · View at Google Scholar
  • 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
  • David Alejandro Elvira-Ortiz, Rene de Jesus Romero-Troncoso, Arturo Yosimar Jaen-Cuellar, Luis Morales-Velazquez, and Roque Alfredo Osornio-Rios, “Vibration Suppression for Improving the Estimation of Kinematic Parameters on Industrial Robots,” Shock and Vibration, vol. 2016, pp. 1–15, 2016. View at Publisher · View at Google Scholar