| Synthetic training data generation for visual object identification on load carriers D Schoepflin, D Holst, M Gomse, T Schüppstuhl Procedia CIRP 104, 1257-1262, 2021 | 18 | 2021 |
| A methods-time-measurement based approach to enable action recognition for multi-variant assembly in human-robot collaboration J Koch, L Buesch, M Gomse, T Schueppstuhl Procedia CIRP 106, 233-238, 2022 | 17 | 2022 |
| Digital game-based examination for sensor placement in context of an Industry 4.0 lecture using the Unity 3D engine–a case study J Koch, M Gomse, T Schüppstuhl Procedia manufacturing 55, 563-570, 2021 | 16 | 2021 |
| Towards synthetic AI training data for image classification in intralogistic settings D Schoepflin, K Iyer, M Gomse, T Schüppstuhl Annals of Scientific Society for Assembly, Handling and Industrial Robotics …, 2022 | 8 | 2022 |
| Smart material delivery unit for the production supplying logistics of aircraft D Schoepflin, J Koch, M Gomse, T Schüppstuhl Procedia manufacturing 55, 455-462, 2021 | 7 | 2021 |
| Application of multi-model databases in digital twins using the example of a quality assurance process J Koch, G Lotzing, M Gomse, T Schüppstuhl Towards Sustainable Customization: Bridging Smart Products and Manufacturing …, 2022 | 6 | 2022 |
| Towards visual referencing for location based services in industrial settings D Schoepflin, M Brand, M Gomse, T Schueppstuhl ISR 2020; 52th International Symposium on Robotics, 1-8, 2020 | 3 | 2020 |
| Industrial Segment Anything--a Case Study in Aircraft Manufacturing, Intralogistics, Maintenance, Repair, and Overhaul K Moenck, A Wendt, P Prünte, J Koch, A Sahrhage, J Gierecker, ... arXiv preprint arXiv:2307.12674, 2023 | 2 | 2023 |
| Visual ai applications on smart delivery units D Schoepflin, Ö Albayrak, P Scheffler, A Wendt, M Gomse, T Schüppstuhl 2021 IEEE Global Conference on Artificial Intelligence and Internet of …, 2021 | 2 | 2021 |
| INDUSTRY 5.0 IN AIRCRAFT PRODUCTION AND MRO: TECHNOLOGIES, CHALLENGES, AND OPPORTUNITIES K Moenck, J Koch, JE Rath, L Büsch, J Gierecker, F Kähler, F Kalscheuer, ... | | 2024 |
| Entwicklung von Intralogistikdiensten auf der Basis einer quelloffenen Referenzarchitektur für Lokalisierungssysteme N Mattschull, M Wesselhöft, A Wendt, J Hinckeldeyn, M Gomse, ... 29. Hamburger Logistik-Kolloquium, 2020 | | 2020 |
| Automatisierte Bilddatengenerierung als Trainingsdatensatz für eine KI-Objektidentifikation in der Intralogistik D Schoepflin, M Gomse | | 2020 |
| Nichtlineare Wellen in langen, schlanken Strukturen M Gomse | | 2017 |
Thorsten SchüppstuhlProfessor Produktionstechnik, TU HamburgBestätigte E-Mail-Adresse bei tuhh.de
