Markus Schmitz
Orcid: 0000-0002-6450-4502
According to our database1,
Markus Schmitz
authored at least 13 papers
between 2012 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Suitability test of virtual reality applications for older people considering the spatial orientation ability.
Virtual Real., September, 2023
2022
PhD thesis, 2022
Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach.
Int. J. Semantic Comput., 2022
Robotic Analysation Methodology for Multidirectional Additive Manufacturing Process Configuration.
Proceedings of the Advances in Robot Kinematics 2022, 2022
Proceedings of the 28th Americas Conference on Information Systems, 2022
2021
Toward Fault Detection in Industrial Welding Processes with Deep Learning and Data Augmentation.
CoRR, 2021
Verifying the Applicability of Synthetic Image Generation for Object Detection in Industrial Quality Inspection.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Towards Real-World Force-Sensitive Robotic Assembly through Deep Reinforcement Learning in Simulations.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2021
2020
Inform. Spektrum, 2020
Enabling Rewards for Reinforcement Learning in Laser Beam Welding processes through Deep Learning.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
2018
Enabling of Predictive Maintenance in the Brownfield through Low-Cost Sensors, an IIoT-Architecture and Machine Learning.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Die Digitale Agenda der BA - Wie sich ein öffentlicher Dienstleister der Digitalisierung stellt.
Proceedings of the Digitalisierung im Spannungsfeld von Politik, 2018
2012
Towards assisted input and output data analysis in manufacturing simulation: the EDASim approach.
Proceedings of the Winter Simulation Conference, 2012