ausgewählte Veröffentlichungen

• Abschnitt eines Buches

  • Dynamic Job Shop Scheduling in an Industrial Assembly Environment Using Various Reinforcement Learning Techniques 2023
  • Application of Reinforcement Learning to UR10 Positioning for Prioritized Multi-Step Inspection in NVIDIA Omniverse 2023
  • A Concept for QoS Management in SOA-Based SoS Architectures
  • An end to end workflow for synthetic data generation for robust object detection
  • Application of Multi-agent Reinforcement Learning to the Dynamic Scheduling Problem in Manufacturing Systems
  • Solving a Dynamic Scheduling Problem for a Manufacturing System with Reinforcement Learning

• Artikel

  • Study on the application of single-agent and multi-agent reinforcement learning to dynamic scheduling in manufacturing environments with growing complexity: Case study on the synthesis of an industrial IoT Test Bed.  Journal of manufacturing systems, Vol.77, pp. 525-557.  2024
  • A review of the applications of multi-agent reinforcement learning in smart factories.  Frontiers in robotics and AI, Vol.9, 1027340.  2022
  • A Systematic Mapping Study on Machine Learning Techniques Applied for Condition Monitoring and Predictive Maintenance in the Manufacturing Sector.  LOGISTICS-BASEL, Vol.6(2), pp. 1-22.  2022

• Buch

  • Anwendung von Reinforcement Learning in industriellen cyberphysischen Systemen 2023

• Tagungsband

  • Application of Inhomogeneous QMIX in Various Architectures to Solve Dynamic Scheduling in Manufacturing Environments.  IEEE International Conference on Industrial Informatics (INDIN), pp. 1-8.
  • Positioning Stabilization With Reinforcement Learning for Multi-Step Robot Positioning Tasks in Nvidia Omniverse.  IEEE International Conference on Industrial Informatics (INDIN), pp. 1-8.