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 interest

• 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 is working on the NaBeMi research project, which aims to develop a methodology for planning sustainability-promoting resources for manual and hybrid assembly systems that takes ecological, economic and social aspects into account. A web-based assistance system supports the resource planning process. The methodology integrates three quality control loops in order to resolve conflicts between classic and sustainability targets and enable holistic resource planning. This analyses conflicting objectives and ensures a high level of planning quality. stance

Projects

NaBeMi
Development of a Quality Control Loop-Based Assistance System for Sustainable Resource Planning in Manual and Hybrid Assembly
01.11.2024 - 31.10.2026

ErgoKI
Detection and AI-based analysis of ergonomic data in manual assembly using wearbles and machine vision techniques
01.09.2023 - 30.04.2025

OptiAssist
AI-based anomaly and cause analysis of assembly process data to derive process and assistance system improvement proposals
01.04.2023 - 30.12.2024

AI-Consult
Multimodal, AI-supported cognitive information support system in logistics processes
01.04.2022 - 31.07.2024

AKAMAI ASRS
New Intralogistics warehouse system
01.01.2022 - 31.12.2022

ViProQAS
Visual Product Quality Auditing System
01.10.2020 - 30.09.2022

MARGO
Optimizing Material Flow with AGV’s in Ring Gear Production
01.03.2020 - 31.01.2021

ALSO 4.0
Increasing the efficiency of an aluminium furnace by the use of intelligent control modules, extended sensors and innovative solution methodology in the combustion technology
01.06.2017 - 30.11.2020