Abstract—Sensors integration with existing industrial robotics control system is a challenge for researchers to develop online guiding algorithms for new applications where intelligent robot control is required. Different software platforms for sensors integration with industrial robot controller over Ethernet network have been created and studied in this research. The aim of this work is to provide alternative solution for sensor integration with the industrial robots controllers that have limited interface options in order to extend their performance and the applications where they can be used. By doing so, online motion control based on external sensors data for collision avoidance or online trajectory generator will be possible even with low cost industrial robots. Several tests were conducted on the communication between the platforms and the controller with the focus on data transmission time over different scenarios.
Index Terms—Ethernet interface, industrial robots, online motion control, sensors integration.
M. W. Abdullah is with the Center for Sensor Systems (ZESS) at the University of Siegen, Paul-Bonatz Str. 9-11, 57080 Siegen, Germany (e-mail: abdullah@zess.uni-siegen.de).
H. Roth and J. Wahrburg are with the Institute of Automatic Control Engineering, University of Siegen, Hoelderlinstr. 3, 57068 Siegen, Germany (e-mail: hubert.roth@uni-siegen.de, juergen.wahrburg@uni-siegen.de).
M. Weyrich is with the Institute of Industrial Automation and Software Engineering, University of Stuttgart, Pfaffenwaldring 47, 70550 Stuttgart, Germany (e-mail: michael.weyrich@ias.uni-stuttgart.de).
A. S. Lakshm is with the Mechatronics Program at the University of Siegen, Hoelderlinstr. 3, 57068 Siegen, Germany (e-mail: aparna.slakshmi@students.uni-siegen.de).
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Cite: Mustafa W. Abdullah, Hubert Roth, Michael Weyrich, Jürgen Wahrburg, and Aparna S. Lakshm, "Evaluation of Online-Guiding Software Platforms for Sensor Integration with Industrial Robot Controller over Ethernet Network," International Journal of Materials, Mechanics and Manufacturing vol. 4, no. 3, pp. 171-174, 2016.