| Digital twins of manufacturing systems as a base for machine learning F Jaensch, A Csiszar, C Scheifele, A Verl 2018 25th International conference on mechatronics and machine vision in …, 2018 | 84 | 2018 |
| Computation and analysis of the workspace of a reconfigurable parallel robotic system C Brisan, A Csiszar Mechanism and Machine Theory 46 (11), 1647-1668, 2011 | 69 | 2011 |
| On solving the inverse kinematics problem using neural networks A Csiszar, J Eilers, A Verl 2017 24th International Conference on Mechatronics and Machine Vision in …, 2017 | 60 | 2017 |
| Reinforcement learning of material flow control logic using hardware-in-the-loop simulation F Jaensch, A Csiszar, A Kienzlen, A Verl 2018 First International Conference on Artificial Intelligence for …, 2018 | 25 | 2018 |
| Dynamic and interactive path planning and collision avoidance for an industrial robot using artificial potential field based method A Csiszar, M Drust, T Dietz, A Verl, C Brisan Mechatronics: Recent Technological and Scientific Advances, 413-421, 2012 | 25 | 2012 |
| Efficient task and path planning for maintenance automation using a robot system C Friedrich, A Csiszar, A Lechler, A Verl IEEE Transactions on Automation Science and Engineering 15 (3), 1205-1215, 2017 | 17 | 2017 |
| Informed information theoretic model predictive control R Kusumoto, L Palmieri, M Spies, A Csiszar, KO Arras 2019 International Conference on Robotics and Automation (ICRA), 2047-2053, 2019 | 14 | 2019 |
| Reinforcement learning of a robot cell control logic using a software-in-the-loop simulation as environment F Jaensch, A Csiszar, J Sarbandi, A Verl 2019 Second International Conference on Artificial Intelligence for …, 2019 | 13 | 2019 |
| CPS Platform Approach to Industrial Robots: State of the Practice, Potentials, Future Research Directions M Mikusz, A Csiszar | 13 | 2015 |
| A Dynamic Model for KUKA KR6 in SPIF Processes M Crenganis, A Csiszar Materials Science Forum 957, 156-166, 2019 | 12 | 2019 |
| Productivity increase through joint space path planning for robot machining A Atmosudiro, M Keinert, A Karim, A Lechler, A Verl, A Csizar 2014 European Modelling Symposium, 257-262, 2014 | 11 | 2014 |
| FabOS: Towards an open, distributed, real-time-capable, and secure operating system for production M Lukas, D Stock, A Csiszar Procedia CIRP 104, 962-967, 2021 | 10 | 2021 |
| Deep reinforcement learning using cyclical learning rates R Gulde, M Tuscher, A Csiszar, O Riedel, A Verl 2020 Third International Conference on Artificial Intelligence for …, 2020 | 10 | 2020 |
| Behavior trees for task-level programming of industrial robots A Csiszar, M Hoppe, SA Khader, A Verl Tagungsband des 2. Kongresses Montage Handhabung Industrieroboter, 175-186, 2017 | 10 | 2017 |
| A combinatorial optimization approach to the Denavit-Hartenberg parameter assignment A Csiszar 2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM …, 2015 | 9 | 2015 |
| Generative models for direct generation of cnc toolpaths B Kaiser, A Csiszar, A Verl 2018 25th International Conference on Mechatronics and Machine Vision in …, 2018 | 7 | 2018 |
| Fast robot task and path planning based on CAD and vision data C Friedrich, A Csiszar, A Lechler, A Verl 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM …, 2017 | 7 | 2017 |
| Towards a user-centered development process of machine learning applications for manufacturing domain experts A Csiszar, P Hein, M Wächter, A Verl, AC Bullinger 2020 Third International Conference on Artificial Intelligence for …, 2020 | 6 | 2020 |
| EcoBotics: Advantages and challenges of building a bamboo robot arm A Csiszar, P Sommer, A Lechler Industrial Technology (ICIT), 2015 IEEE International Conference on, 192,197, 2015 | 6 | 2015 |
| Optimal Design Concept of a Reconfigurable Haptic Device A Csiszar, C Boanta, S Hoher, C Brisan, A Verl Enabling Manufacturing Competitiveness and Economic Sustainability …, 2014 | 6 | 2014 |
