Dr.-Ing. Martin Gomse

Room L2011

Phone 040 42878-3134

Fax 040 42731-4551

since 06/2023	Deputy Member of the Academic Senate
since 02/2023	Deputy Head of Bachelor Mechanical Engineering
since 01/2023	Member of the committee for awarding the academic title of professor
since 12/2021	Deputy Head of the International Master Program Mechatronics
since 8/2021	Deputy member of the Senate Committee on Information Technology
since 01/2020	Member of the Committee for Strategy in Studies and Teaching
2018	Doctorate (Dr.-Ing., TUHH)
since 01/2018	Senior Engineer at the Institute of Aircraft Production Technology
2008 - 2017	Research Assistant at the Institute for Reliability Technology at the TUHH
since 2009	Program Advisor International Master Mechatronics
2005 - 2007	Degree course in mechatronics at the TUHH (Dipl.-Ing., eqiv. M.Sc.)
2002 - 2005	Studied general engineering sciences, specializing in mechatronics, at the TUHH

(Mobile) Robotics

Nonlinear control of mechanical systems

IoT systems & Industry 4.0 processes

Object identification and synthetic AI training data

Human-machine interaction

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 | Publisher DOI

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 | Publisher 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 | Publisher DOI

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)
Publisher 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 | Publisher 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 | Publisher 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)
Publisher 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 | Publisher DOI

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)

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