2023

• Industrial segment anything - A case study in aircraft manufacturing, intralogistics, maintenance, repair, and overhaul
  Moenck, Keno; Wendt, Arne; Prünte, Philipp Julian; Koch, Julian; Sahrhage, Arne; Gierecker, Johann; Schmedemann, Ole; Kähler, Falko; Holst, Dirk; Gomse, Martin; Schüppstuhl, Thorsten; Schoepflin, Daniel
  arXiv: 2307.12674 (2023)
  Open Access | Verlags DOI

2022

• A methods-time-measurement based approach to enable action recognition for multi-variant assembly in Human-Robot Collaboration
  Koch, Julian; Büsch, Lukas; Gomse, Martin; Schüppstuhl, Thorsten
  Procedia CIRP 106: 233-238 (2022)
  Open Access | Verlags DOI
• Towards synthetic AI training data for image classification in intralogistic settings
  Schoepflin, Daniel; Iyer, Karthik; Gomse, Martin; Schüppstuhl, Thorsten
  Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021: 325-336 (2022)
  Open Access | Verlags DOI

2021

• Visual AI applications on smart delivery units
  Schoepflin, Daniel; Albayrak, Özge; Scheffler, Piet Ansgar; Wendt, Arne; Gomse, Martin; Schüppstuhl, Thorsten
  IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT 2021)
  Verlags DOI
• Digital game-based examination for sensor placement in context of an Industry 4.0 lecture using the Unity 3D engine : a case study
  Koch, Julian; Gomse, Martin; Schüppstuhl, Thorsten
  Procedia Manufacturing 55 : 563-570 (2021)
  Open Access | Verlags DOI
• Smart material delivery unit for the production supplying logistics of aircraft
  Schoepflin, Daniel; Koch, Julian; Gomse, Martin; Schüppstuhl, Thorsten
  Procedia Manufacturing 55 : 455-462 (2021)
  Open Access | Verlags DOI
• Application of Multi-Model Databases in Digital Twins Using the Example of a Quality Assurance Process
  Koch, Julian; Lotzing, Gerald; Gomse, Martin; Schüppstuhl, Thorsten
  Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV 2021); World Mass Customization and Personalization Conference (MCPC 2021)
  Verlags DOI
• Synthetic training data generation for visual object identification on load carriers
  Schoepflin, Daniel; Holst, Dirk; Gomse, Martin; Schüppstuhl, Thorsten
  Procedia CIRP 104 : 1257-1262 (2021)
  Open Access | Verlags DOI

2020

• Towards Visual Referencing for Location Based Services in Industrial Settings
  Schoepflin, Daniel; Brand, Michael; Gomse, Martin; Schüppstuhl, Thorsten
  International Symposium on Robotics (ISR 2020)
  
• Automatisierte Bilddatengenerierung als Trainingsdatensatz für eine KI-Objektidentifikation in der Intralogistik
  Schoepflin, Daniel; Gomse, Martin
  
• Entwicklung von Intralogistikdiensten auf der Basis einer quelloffenen Referenzarchitektur für Lokalisierungssysteme
  Mattschull, Niklas; Wesselhöft, Mike; Wendt, Arne; Hinckeldeyn, Johannes; Gomse, Martin; Kreutzfeldt, Jochen; Schüppstuhl, Thorsten
  29. Hamburger Logistik-Kolloquium (2020)
  

2017

• Nichtlineare Wellen in langen, schlanken Strukturen
  Gomse, Martin
  Technische Universität Hamburg: (2017)