%0 Conference Paper %1 10260637 %A Klingel, Lars %A Heine, Alexander %A Acher, Steven %A Dausend, Niklas %A Verl, Alexander %B 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) %D 2023 %K isw %P 1-6 %R 10.1109/CASE56687.2023.10260637 %T Simulation-Based Predictive Real-Time Collision Avoidance for Automated Production Systems %X The usage of simulation technology is deeply established in the development and commissioning of automated production systems. Impending collisions of moving kinematics, such as robots, can therefore already be detected with the help of simulations before the production system goes into operation. However, changes in the control software of production systems that occur in the operating phase are often not secured, which entails risk, especially in the age of cyber-physical and adaptive production systems. This work presents a predictive simulation-based approach for the online collision avoidance of automated production systems by enabling virtual commissioning simulations for the application in the operating phase. This allows a cost-efficient way to achieve the safe operation of production systems without the need of additional configurations and sensors.

@inproceedings{10260637, abstract = {The usage of simulation technology is deeply established in the development and commissioning of automated production systems. Impending collisions of moving kinematics, such as robots, can therefore already be detected with the help of simulations before the production system goes into operation. However, changes in the control software of production systems that occur in the operating phase are often not secured, which entails risk, especially in the age of cyber-physical and adaptive production systems. This work presents a predictive simulation-based approach for the online collision avoidance of automated production systems by enabling virtual commissioning simulations for the application in the operating phase. This allows a cost-efficient way to achieve the safe operation of production systems without the need of additional configurations and sensors.}, added-at = {2024-02-28T16:12:38.000+0100}, author = {Klingel, Lars and Heine, Alexander and Acher, Steven and Dausend, Niklas and Verl, Alexander}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2ae933fb2b28a9bb542fd42091fe92f23/isw-bibliothek}, booktitle = {2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)}, doi = {10.1109/CASE56687.2023.10260637}, interhash = {88ba174e6309c43def6c8826695748c7}, intrahash = {ae933fb2b28a9bb542fd42091fe92f23}, issn = {2161-8089}, keywords = {isw}, month = aug, pages = {1-6}, timestamp = {2024-02-28T16:12:38.000+0100}, title = {Simulation-Based Predictive Real-Time Collision Avoidance for Automated Production Systems}, year = 2023 }