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Ajdinović, Samed

Samed Ajdinović

M.Sc.

Research Assistant "Industrial Control Engineering"
Institute for Control Engineering of Machine Tools and Manufacturing Units

Contact

+49 711 685 82406
Email

Seidenstr. 36
70174 Stuttgart
Germany
Room: 4.049

Publications

Publications:

Zürn, Manuel ; Dzubba, Marcel ; Reiff, Colin ; Ajdinovic, Samed ; Lechler, Armin ; Verl, Alexander: Cobot for Automated Vision Data: Streamlining Production with Automated Annotations for Machine Learning. In: 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2024, S. 1–6
- BibTeX
- DOI
BibTeX
@inproceedings{10468034, abstract = {Robotic vision tasks require a large amount of annotated data for effective training and performance. However, the manual creation of such datasets is a complex and time-consuming process. Particularly for smaller companies or those with high product variability, there is a need to optimise the resources dedicated to creating datasets for machine vision applications. This paper investigates novel ways to acquire annotated vision data through the integration of collaborative robots. Two methods are outlined to streamline the generation of annotated datasets. One of these methods is then used to construct a dataset tailored for 6D robotic gripping of an automotive connector. The effectiveness of automated annotated dataset generation is demonstrated by training a deep learning model to accurately estimate the orientation of the automotive connector.}, author = {Zürn, Manuel and Dzubba, Marcel and Reiff, Colin and Ajdinovic, Samed and Lechler, Armin and Verl, Alexander}, booktitle = {2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)}, doi = {10.1109/ACDSA59508.2024.10468034}, month = {02}, pages = {1-6}, title = {Cobot for Automated Vision Data: Streamlining Production with Automated Annotations for Machine Learning}, year = 2024 }
DOI
10.1109/ACDSA59508.2024.10468034
Ajdinovic, Samed ; Strljic, Matthias ; Lechler, Armin ; Riedel, Oliver: Interoperable Digital Product Passports: An Event-Based Approach to Aggregate Production Data to Improve Sustainability and Transparency in the Manufacturing Industry. In: 2024 IEEE/SICE International Symposium on System Integration (SII), 2024 IEEE/SICE International Symposium on System Integration (SII), 2024, S. 729–734
- BibTeX
- DOI
BibTeX
@inproceedings{10417487, abstract = {The manufacturing industry is increasingly focused on sustainability, requiring greater product transparency to meet sustainability targets. Digital Product Passports (DPPs) have emerged as a potential solution to improve recyclability and inform consumer purchasing decisions. However, there is a lack of methodology and digital representation for building DPPs, which hinders data linkage and sharing. In this paper, we propose an approach based on standardised data models and event sourcing to aggregate production data, using energy consumption as an example. We present a concept that captures and stores process information using event sourcing in Asset Administration Shells (AAS), and evaluate its feasibility through a manufacturing demonstrator. The results show that event-based aggregation facilitates the creation of DPPs, allowing different actors in the value chain to participate in an interoperable way. By leveraging a standardised and interoperable common data space, this approach improves product transparency, promotes recyclability and enables informed consumer choice in line with sustainability goals.}, author = {Ajdinovic, Samed and Strljic, Matthias and Lechler, Armin and Riedel, Oliver}, booktitle = {2024 IEEE/SICE International Symposium on System Integration (SII)}, doi = {10.1109/SII58957.2024.10417487}, issn = {2474-2325}, month = {01}, pages = {729-734}, title = {Interoperable Digital Product Passports: An Event-Based Approach to Aggregate Production Data to Improve Sustainability and Transparency in the Manufacturing Industry}, year = 2024 }
DOI
10.1109/SII58957.2024.10417487
Heinemann, Tonja ; Ajdinovic, Samed ; Lechler, Armin ; Riedel, Oliver: OPC UA Tests im Kontext einer Dateninfrastruktur. In: WT-Werkstattstechnik (Hrsg.) (2023)
BibTeX
@article{heinemann2023tests, author = {Heinemann, Tonja and Ajdinovic, Samed and Lechler, Armin and Riedel, Oliver}, doi = {10.37544/1436-4980-2023-05-29}, editor = {WT-Werkstattstechnik}, month = {05}, title = {OPC UA Tests im Kontext einer Dateninfrastruktur}, url = {https://elibrary.vdi-verlag.de/10.37544/1436-4980-2023-05-29/opc-ua-tests-im-kontext-einer-dateninfrastruktur-tests-for-opc-ua-as-part-of-data-infrastructure-jahrgang-113-2023-heft-05?page=1}, year = 2023 }
Link
https://elibrary.vdi-verlag.de/10.37544/1436-4980-2023-05-29/opc-ua-tests-im-kontext-einer-dateninfrastruktur-tests-for-opc-ua-as-part-of-data-infrastructure-jahrgang-113-2023-heft-05?page=1
DOI
10.37544/1436-4980-2023-05-29
Fur, Shan ; Ajdinovic, Samed ; Lechler, Armin ; Verl, Alexander: Towards an Implementation of Simulation Based Digital Twins in Cyber-Physical Production Systems Environments. In: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA), 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA), 2023, S. 1–4
- BibTeX
- DOI
BibTeX
@inproceedings{10275580, abstract = {The increasing digitization of the manufacturing industry offers a wide range of opportunities for the effective use of production data, which can lead to significant time and cost savings. One promising approach is the use of synchronous simulations during the actual operation of cyber-physical production systems (CPPS) to provide valuable insights into possible performance improvements and at the same time reduce the risk of costly downtime. This paper presents a novel concept that enables structured storage of CPPS production data as part of a digital twin that serves as a virtual replica of the physical production environment. In particular, this approach is based on the Asset Administration Shell (AAS), which provides a comprehensive framework for the management of production data and allows for a seamless integration with simulation models. Storing production data in a structured and standardized format can make data queries efficient, facilitate data processing, and provide a solid foundation for simulation model development, calibration, and validation. These simulation models can then be used to identify potential process improvements and test different scenarios, minimizing the risk of disruption to actual production.}, author = {Fur, Shan and Ajdinovic, Samed and Lechler, Armin and Verl, Alexander}, booktitle = {2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)}, doi = {10.1109/ETFA54631.2023.10275580}, issn = {1946-0759}, month = {09}, pages = {1-4}, title = {Towards an Implementation of Simulation Based Digital Twins in Cyber-Physical Production Systems Environments}, year = 2023 }
DOI
10.1109/ETFA54631.2023.10275580
Neubauer, Michael ; Steinle, Lukas ; Reiff, Colin ; Ajdinovic, Samed ; Klingel, Lars ; Lechler, Armin ; Verl, Alexander: Architecture for Manufacturing-X: Bringing Asset Administration Shell, Eclipse Dataspace Connector and OPC UA together. In: Manufacturing Letters, Manufacturing Letters. Bd. 37, Elsevier (2023), S. 1–6
BibTeX
@article{Neubauer_2023, abstract = {Manufacturing-X represents the idea of a decentralized data economy. The aim is to increase sustainability, competitiveness and resilience by digitizing supply chains. Technically, this requires three technologies. First, a standardized data model to ensure interoperability across company boundaries. Second, a solution to realize sovereign inter-organizational data exchange. And thirdly, a component for the company’s internal data communication. Asset Administration Shell (AAS), Eclipse Dataspace Connector (EDSC) and Open Platform Communication Unified Architecture (OPC UA) are suitable solutions. This paper introduces an appropriate architecture to combine these technologies in an industrial production environment and discusses existing challenges, limitations and future potentials.}, author = {Neubauer, Michael and Steinle, Lukas and Reiff, Colin and Ajdinovic, Samed and Klingel, Lars and Lechler, Armin and Verl, Alexander}, doi = {10.1016/j.mfglet.2023.05.002}, journal = {Manufacturing Letters}, month = {06}, pages = {1-6}, publisher = {Elsevier}, title = {Architecture for Manufacturing-X: Bringing Asset Administration Shell, Eclipse Dataspace Connector and OPC UA together}, url = {https://doi.org/10.1016%2Fj.mfglet.2023.05.002}, volume = 37, year = 2023 }
Link
https://doi.org/10.1016%2Fj.mfglet.2023.05.002
DOI
10.1016/j.mfglet.2023.05.002

Samed Ajdinović

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