Markus Schmitz

17 papers A* 1A 1C 2Misc 1Journal 5Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	ROS2WASM: Bringing the Robot Operating System to the Web. ICRA Tobias Fischer, Isabel Paredes, Michael Batchelor, Thorsten Beier, Jesse Haviland, Silvio Traversaro, Wolf Vollprecht, Markus Schmitz, Michael Milford
2024	A	`conf`	Monitoring and control of Additive Manufacturing with the Robot Operating System. ICCAD M. Mierzwa, Konrad Mäde, Rahul Sharma, Uwe Reisgen, J. Wiartalla, Markus Schmitz, Mathias Hüsing, Burkhard Corves
2024	J	`jnl`	ROS2WASM: Bringing the Robot Operating System to the Web. CoRR Tobias Fischer, Isabel Paredes, Michael Batchelor, Thorsten Beier, Jesse Haviland, Silvio Traversaro, Wolf Vollprecht, Markus Schmitz, Michael Milford
2023	J	`jnl`	Suitability test of virtual reality applications for older people considering the spatial orientation ability. Virtual Real. Dan Bürger, Stefan Pastel, Chien-Hsi Chen, Katharina Petri, Markus Schmitz, Leon Wischerath, Kerstin Witte
2022	—	`conf`	An Application-centric Perspective on Industrial Artificial Intelligence. AMCIS Markus Schmitz, Dilara Yesilbas
2022	J	`jnl`	Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach. Int. J. Semantic Comput. Lars Leyendecker, Markus Schmitz, Hans Aoyang Zhou, Vladimir Samsonov, Marius Rittstieg, Daniel Lütticke
2022	—	`—`	Machine Learning in Industrial Applications: Insights Gained from Selected Studies. Markus Schmitz
2022	—	`conf`	Robotic Analysation Methodology for Multidirectional Additive Manufacturing Process Configuration. ARK Markus Schmitz, Florian Menz, Mathias Hüsing, Burkhard Corves
2021	—	`conf`	Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach. IRC Lars Leyendecker, Markus Schmitz, Hans Aoyang Zhou, Vladimir Samsonov, Marius Rittstieg, Daniel Lütticke
2021	J	`jnl`	Toward Fault Detection in Industrial Welding Processes with Deep Learning and Data Augmentation. CoRR Jibinraj Antony, Florian Schlather, Georgij Safronov, Markus Schmitz, Kristof Van Laerhoven
2021	—	`conf`	Towards Real-World Force-Sensitive Robotic Assembly through Deep Reinforcement Learning in Simulations. AIM Marius Hebecker, Jens Lambrecht, Markus Schmitz
2021	C	`conf`	Verifying the Applicability of Synthetic Image Generation for Object Detection in Industrial Quality Inspection. ICMLA Majid Shirazi, Markus Schmitz, Simon Janssen, Anabelle Thies, Georgij Safronov, Amr Rizk, Peter Mayr, Philipp Engelhardt
2020	J	`jnl`	Auf dem Weg zu einer ethisch verantwortungsvollen Datennutzung. Inform. Spektrum Markus Schmitz
2020	C	`conf`	Enabling Rewards for Reinforcement Learning in Laser Beam Welding processes through Deep Learning. ICMLA Markus Schmitz, Florian Pinsker, Alexander Ruhri, Beibei Jiang, Georgij Safronov
2018	—	`ch.`	Die Digitale Agenda der BA - Wie sich ein öffentlicher Dienstleister der Digitalisierung stellt. Digitalisierung im Spannungsfeld von Politik, Wirtschaft, Wissenschaft und Recht (1) Markus Schmitz
2018	—	`conf`	Enabling of Predictive Maintenance in the Brownfield through Low-Cost Sensors, an IIoT-Architecture and Machine Learning. IEEE BigData Patrick Straus, Markus Schmitz, René Wöstmann, Jochen Deuse
2012	Misc	`conf`	Towards assisted input and output data analysis in manufacturing simulation: the EDASim approach. WSC Tjorben Bogon, Ingo J. Timm, Ulrich Jessen, Markus Schmitz, Sigrid Wenzel, Andreas D. Lattner, Dimitris C. Paraskevopoulos, Sven Spieckermann