Senior Research Associate in department Planning and Control of Production and Logistics Systems (PSPS), Faculty Production Engineering at the University of Bremen.
Curriculum Vitae
After an apprenticeship as a mechatronics technician, Dirk Schweers studied mechatronics at the Osnabrück University of Applied Sciences and systems engineering at the University of Bremen, specialising in automation technology and robotics. Mr. Schweers completed his studies in 2015 and has been working as a research scientist at the Bremen Institute for Production and Logistics since 2016. Since then, he has been working in the Robotics and Automation Department on the combination of machine learning, image processing and control technology tasks. Mr. Schweers is also editor of the magazine Industrie 4.0 Management, which deals with the present and future of industrial business processes.
Research Areas and Interests
- Machine learning, image processing and control engineering
- Energy and resource efficient production
- Process optimization through robotics and automation systems
- Industry 4.0, cyber-physical production and logistics systems
Activities
Dirk Schweers works in the research project ALSO 4.0 in which the efficiency of an aluminium melting furnace shall be increased. Within the project he deals with the approximation of the melting behaviour of the aluminum including the complete state of the furnace.
Projects
| AI-Consult | Multimodales, KI-gestütztes Informationssystem zur kognitiven Unterstützung logistischer Prozesse |
| AKAMAI ASRS | Neues Intralogistik-Lagersystem |
| ALSO 4.0 | Effizienzsteigerung eines Aluminiumschmelzofens durch den Einsatz intelligenter Steuerungsmodule, erweiterter Sensorik und innovativer Lösungsmethodiken in der Verbrennungstechnik |
| ErgoKI | Erfassung und KI-basierte Analyse von Ergonomiedaten in der manuellen Montage mittels körpernaher Sensorik und maschineller Sehverfahren |
| MARGO | Optimizing Material Flow with AGV’s in Ring Gear Production |
| OptiAssist | KI-basierte Anomalie- und Ursachenanalyse von Montageprozessdaten zur Ableitung von Prozess- und Assistenzsystem-Verbesserungsvorschlägen |
| ViProQAS | Visual Product Quality Auditing System |
Contact
BIBA
Hochschulring 20
D-28359 Bremen
| Phone: | +49(0)421/218-50124 |
| e-Mail: | ser@biba.uni-bremen.de |