Six-Degrees-of-Freedom (6-DOF) Work Object Positional Calibration Using a Robot-Held Proximity Sensor

Industrial automation has been recognized as a fundamental key to build and keep manufacturing industries in developed countries. In most automation tasks, knowing the exact position of the objects to handle is essential. This is often done using a positional calibration system, such as a camera-based vision system. In this article, an alternative six-degrees-of-freedom work object positional calibration method using a robot-held proximity sensor, is presented. A general trigonometry-based measurement and calculation procedure, which, step-by-step, adjusts a work object coordinate system to the actual work object position, is explained. For suitable robot tasks and work object geometries, the benefits with the presented method include its robustness, large work area and low investment cost. Some drawbacks can be longer cycle time and its limited capacity to handle unsorted and complicated objects. To validate the presented method, it was implemented in an experimental robot setup. In this robot cell, it was used to calibrate the position of a stator section work object, which is used in the Uppsala University Wave Energy Converter generator. Hereby the function of the positional calibration procedure was validated. Sufficient positioning accuracy for the stator winding task was achieved and theoretically validated based on the experiments.

[1]  Y. Aiyama,et al.  Calibration of relative position between manipulator and work by Point-to-face touching method , 2009, 2009 IEEE International Symposium on Assembly and Manufacturing.

[2]  Yong Liu,et al.  Multi-modal force/vision sensor fusion in 6-DOF pose tracking , 2009, 2009 International Conference on Advanced Robotics.

[3]  Shengyong Chen,et al.  Active vision in robotic systems: A survey of recent developments , 2011, Int. J. Robotics Res..

[4]  Mats Leijon,et al.  Lysekil Research Site, Sweden : A status update , 2011 .

[5]  Ilian A. Bonev,et al.  Absolute calibration of an ABB IRB 1600 robot using a laser tracker , 2013 .

[6]  J. Franke,et al.  Innovative processes and systems for the automated manufacture, assembly and test of magnetic components for electric motors , 2011, 2011 1st International Electric Drives Production Conference.

[7]  Frank Boochs,et al.  Increasing the accuracy of untaught robot positions by means of a multi-camera system , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.

[8]  Shih-Tin Lin,et al.  Hierarchical fuzzy force control for industrial robots , 1998, IEEE Trans. Ind. Electron..

[9]  Robert Bogue Europe fights back with advanced manufacturing and assembly technologies , 2012 .

[10]  Jim Kirkhoff A new level of automation in fraction HP (kW) electric motor manufacturing , 2004 .

[11]  Ramón López de Mántaras,et al.  Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot , 2011, J. Intell. Robotic Syst..

[12]  A. Paulo Moreira,et al.  Object recognition using laser range finder and machine learning techniques , 2013 .

[13]  Mats Leijon,et al.  Utilizing cable winding and industrial robots to facilitate the manufacturing of electric machines , 2013 .

[14]  Peng Wang,et al.  Pose Estimation for 3D Workpiece Grasping in Industrial Environment Based on Evolutionary Algorithm , 2012, J. Intell. Robotic Syst..

[15]  Nobuaki Miyake,et al.  New core structure and manufacturing method for high efficiency of permanent magnet motors , 2003, 38th IAS Annual Meeting on Conference Record of the Industry Applications Conference, 2003..

[16]  W. D. Reed Self-bonding wire in automated motor assembly , 2003, Proceedings: Electrical Insulation Conference and Electrical Manufacturing and Coil Winding Technology Conference (Cat. No.03CH37480).

[17]  Paolo Dario,et al.  Real-Time 3D Stereo Tracking and Localizing of Spherical Objects with the iCub Robotic Platform , 2011, J. Intell. Robotic Syst..

[18]  Mats Leijon,et al.  Study of a longitudinal flux permanent magnet linear generator for wave energy converters , 2006 .