Markus Schmitz

According to our database, Markus Schmitz authored at least 15 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ROS2WASM: Bringing the Robot Operating System to the Web.

Tobias Fischer, Isabel Paredes, Michael Batchelor, Thorsten Beier, Jesse Haviland, Silvio Traversaro, Wolf Vollprecht, Markus Schmitz, Michael Milford

CoRR, 2024

Monitoring and control of Additive Manufacturing with the Robot Operating System.

M. Mierzwa, K. Mäde, Rahul Sharma, Uwe Reisgen, J. Wiartalla, Markus Schmitz, Mathias Hüsing, Burkhard Corves

Proceedings of the International Conference on Control, Automation and Diagnosis, 2024

2023

Suitability test of virtual reality applications for older people considering the spatial orientation ability.

Dan Bürger, Stefan Pastel, Chien-Hsi Chen, Katharina Petri, Markus Schmitz, Leon Wischerath, Kerstin Witte

Virtual Real., September, 2023

2022

Machine Learning in Industrial Applications: Insights Gained from Selected Studies.

Markus Schmitz

PhD thesis, 2022

Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach.

Lars Leyendecker, Markus Schmitz, Hans Aoyang Zhou, Vladimir Samsonov, Marius Rittstieg, Daniel Lütticke

Int. J. Semantic Comput., 2022

Robotic Analysation Methodology for Multidirectional Additive Manufacturing Process Configuration.

Markus Schmitz, Florian Menz, Mathias Hüsing, Burkhard Corves

Proceedings of the Advances in Robot Kinematics 2022, 2022

An Application-centric Perspective on Industrial Artificial Intelligence.

Markus Schmitz, Dilara Yesilbas

Proceedings of the 28th Americas Conference on Information Systems, 2022

2021

Toward Fault Detection in Industrial Welding Processes with Deep Learning and Data Augmentation.

Jibinraj Antony, Florian Schlather, Georgij Safronov, Markus Schmitz, Kristof Van Laerhoven

CoRR, 2021

Verifying the Applicability of Synthetic Image Generation for Object Detection in Industrial Quality Inspection.

Majid Shirazi, Markus Schmitz, Simon Janssen, Anabelle Thies, Georgij Safronov, Amr Rizk, Peter Mayr, Philipp Engelhardt

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.

Marius Hebecker, Jens Lambrecht, Markus Schmitz

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2021

2020

Auf dem Weg zu einer ethisch verantwortungsvollen Datennutzung.

Markus Schmitz

Inform. Spektrum, 2020

Enabling Rewards for Reinforcement Learning in Laser Beam Welding processes through Deep Learning.

Markus Schmitz, Florian Pinsker, Alexander Ruhri, Beibei Jiang, Georgij Safronov

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.

Patrick Straus, Markus Schmitz, René Wöstmann, Jochen Deuse

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.

Markus Schmitz

Proceedings of the Digitalisierung im Spannungsfeld von Politik, 2018

2012

Towards assisted input and output data analysis in manufacturing simulation: the EDASim approach.

Tjorben Bogon, Ingo J. Timm, Ulrich Jessen, Markus Schmitz, Sigrid Wenzel, Andreas D. Lattner, Dimitris C. Paraskevopoulos, Sven Spieckermann

Proceedings of the Winter Simulation Conference, 2012