Efficient modeling of mechatronic systems regarding variety and complexity in the field of automotive. - Daniel Regulin; Christopher Krooss; Sebastian Rehberger; Birgit Vogel-Heuser (IECON, 2013)

Kollaborative Fertigung mittels eines Multiagentensystems zur Vernetzung anlagenspezifischer Echtzeitsysteme. - Daniel Regulin; Michael Schneider; Birgit Vogel-Heuser (Echtzeit, 2014)

Bridging the gap between discrete and continuous simulation of logistic systems in production based on the Modelica modeling language. - Daniel Regulin; Christopher Krooss; Daniel Schütz; Birgit Vogel-Heuser (ETFA, 2015)

Enabling flexible automation system hardware: Dynamic reconfiguration of a real-time capable field-bus. - Daniel Regulin; Amelia Glaese; Stefan Feldmann; Daniel Schütz; Birgit Vogel-Heuser (INDIN, 2015)

Model based design of knowledge bases in multi agent systems for enabling automatic reconfiguration capabilities of material flow modules. - Daniel Regulin; Daniel Schütz; Thomas Aicher; Birgit Vogel-Heuser (CASE, 2016)

Improving Transferability Between Different Engineering Stages in the Development of Automated Material Flow Modules. - Daniel Regulin; Thomas Aicher; Birgit Vogel-Heuser (IEEE Trans Autom. Sci. Eng., 2016)

Agentenorientierte Verknüpfung existierender heterogener automatisierter Produktionsanlagen durch mobile Roboter zu einem Industrie-4.0-System. - Daniel Regulin; Birgit Vogel-Heuser (Handbuch Industrie 4.0 (2), 2017)

Evaluation of Deep Learning for Semantic Image Segmentation in Tool Condition Monitoring. - Benjamin Lutz; Dominik Kißkalt; Daniel Regulin; Raven Reisch; Andreas Schiffler; Jörg Franke (ICMLA, 2019)

Automated Domain Adaptation in Tool Condition Monitoring using Generative Adversarial Networks. - Benjamin Lutz; Dominik Kißkalt; Daniel Regulin; Burak Aybar; Jörg Franke (CASE, 2021)

Design of a Collaborative Modular End Effector Considering Human Values and Safety Requirements for Industrial Use Cases. - Matteo Pantano; Adrian Blumberg; Daniel Regulin; Tobias Hauser; José F. Saenz; Dongheui Lee (HFR, 2021)

Material Identification for Smart Manufacturing Systems: A Review. - Benjamin Lutz; Dominik Kißkalt; Daniel Regulin; Tobias Hauser; Jörg Franke (ICPS, 2021)

In-situ identification of material batches using machine learning for machining operations. - Benjamin Lutz; Dominik Kißkalt; Andreas Mayr; Daniel Regulin; Matteo Pantano; Jörg Franke (J. Intell. Manuf., 2021)

Influence of task decision autonomy on physical ergonomics and robot performances in an industrial human-robot collaboration scenario. - Matteo Pantano; Qiaoyue Yang; Adrian Blumberg; Raven Reisch; Tobias Hauser; Benjamin Lutz; Daniel Regulin; Tobias Kamps; Konstantinos Traganos; Dongheui Lee (Frontiers Robotics AI, 2022)

Effects of Robotic Expertise and Task Knowledge on Physical Ergonomics and Joint Efficiency in a Human-Robot Collaboration Task. - Matteo Pantano; Arianna Curioni; Daniel Regulin; Tobias Kamps; Dongheui Lee (Humanoids, 2023)

Simplifying Robot Grasping in Manufacturing with a Teaching Approach based on a Novel User Grasp Metric. - Matteo Pantano; Vladislav Klass; Qiaoyue Yang; Akhil Sathuluri; Daniel Regulin; Lucas Janisch; Markus Zimmermann; Dongheui Lee (ISM, 2023)

A Weakly Supervised Semi-Automatic Image Labeling Approach for Deformable Linear Objects. - Alessio Caporali; Matteo Pantano; Lucas Janisch; Daniel Regulin; Gianluca Palli; Dongheui Lee (IEEE Robotics Autom. Lett., 2023)

Contextualized Segmentation of Milling Processes Using Discrete Rule-Based Pattern Recognition. - Lukas Klehr; Bastian Engelmann; Frank-Michael Schleif; Daniel Regulin (EANN (2), 2025)