Explainable reinforcement learning in production control of job shop manufacturing system. - Andreas Kuhnle; Marvin Carl May; Louis Schäfer; Gisela Lanza (Int. J. Prod. Res., 2022)

Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning. - Marco Wurster; Marius Michel; Marvin Carl May; Andreas Kuhnle; Nicole Stricker; Gisela Lanza (J. Intell. Manuf., 2022)

Digital Twin Based Uncertainty Informed Time Constraint Control in Semiconductor Manufacturing. - Marvin Carl May; Lars Kiefer; Gisela Lanza (WSC, 2024)

Human-AI Interaction in Industrial Robotics: Design and Empirical Evaluation of a User Interface for Explainable AI-Based Robot Program Optimization. - Benjamin Alt; Johannes Zahn; Claudius Kienle; Julia Dvorak; Marvin Carl May; Darko Katic; Rainer Jäkel; Tobias Kopp; Michael Beetz; Gisela Lanza (CoRR, 2024)

Automated model generation framework for material flow simulations of production systems. - Marvin Carl May; Christian Nestroy; Leonard Overbeck; Gisela Lanza (Int. J. Prod. Res., 2024)

Self-learning and autonomously adapting manufacturing equipment for the circular factory. - Jürgen Fleischer; Frederik Zanger; Volker Schulze 001; Gerhard Neumann; Nicole Stricker; Kai Furmans; Julius Pfrommer; Gisela Lanza; Malte Hansjosten; Patrick Fischmann; Julia Dvorak; Jan-Felix Klein; et al. (Autom., 2024)

Reinforcement learning for sustainability enhancement of production lines. - Alberto Loffredo; Marvin Carl May; Andrea Matta; Gisela Lanza (J. Intell. Manuf., 2024)

Managing product-inherent constraints with artificial intelligence: production control for time constraints in semiconductor manufacturing. - Marvin Carl May; Jan Oberst; Gisela Lanza (J. Intell. Manuf., 2024)