%0 Journal Article %1 abdullah2016evaluation %A Abdullah, Mustafa W. %A Roth, Hubert %A Weyrich, Michael %A Lakshm, Aparna S. %D 2016 %J International Journal of Materials, Mechanics and Manufacturing %K 2016applikationen 2016ias ias %N 3 %R . %T Evaluation of Online-Guiding Software Platforms for Sensor Integration with Industrial Robot Controller over Ethernet Network %U https://www.ias.uni-stuttgart.de/dokumente/publikationen/2016_Evaluation_of_Online-Guiding_Software_Platforms_for_Sensor_Integration.pdf %V 4 %X 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.

@article{abdullah2016evaluation, abstract = {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.}, added-at = {2020-04-24T13:59:38.000+0200}, author = {Abdullah, Mustafa W. and Roth, Hubert and Weyrich, Michael and Lakshm, Aparna S.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2a72bb4ee054c121727b7b665464557e0/taylansngerli}, doi = {.}, interhash = {168144d071f1bfbf436a52202b5e73c7}, intrahash = {a72bb4ee054c121727b7b665464557e0}, journal = {International Journal of Materials, Mechanics and Manufacturing}, keywords = {2016applikationen 2016ias ias}, month = aug, number = 3, timestamp = {2020-05-18T13:49:29.000+0200}, title = {Evaluation of Online-Guiding Software Platforms for Sensor Integration with Industrial Robot Controller over Ethernet Network}, url = {https://www.ias.uni-stuttgart.de/dokumente/publikationen/2016_Evaluation_of_Online-Guiding_Software_Platforms_for_Sensor_Integration.pdf}, volume = 4, year = 2016 }