@incollection{EngemannDuKallweitetal.2020, author = {Engemann, Heiko and Du, Shengzhi and Kallweit, Stephan and Ning, Chuanfang and Anwar, Saqib}, title = {AutoSynPose: Automatic Generation of Synthetic Datasets for 6D Object Pose Estimation}, series = {Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020}, booktitle = {Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020}, publisher = {IOS Press}, address = {Amsterdam}, isbn = {978-1-64368-137-5}, doi = {10.3233/FAIA200770}, pages = {89 -- 97}, year = {2020}, abstract = {We present an automated pipeline for the generation of synthetic datasets for six-dimension (6D) object pose estimation. Therefore, a completely automated generation process based on predefined settings is developed, which enables the user to create large datasets with a minimum of interaction and which is feasible for applications with a high object variance. The pipeline is based on the Unreal 4 (UE4) game engine and provides a high variation for domain randomization, such as object appearance, ambient lighting, camera-object transformation and distractor density. In addition to the object pose and bounding box, the metadata includes all randomization parameters, which enables further studies on randomization parameter tuning. The developed workflow is adaptable to other 3D objects and UE4 environments. An exemplary dataset is provided including five objects of the Yale-CMU-Berkeley (YCB) object set. The datasets consist of 6 million subsegments using 97 rendering locations in 12 different UE4 environments. Each dataset subsegment includes one RGB image, one depth image and one class segmentation image at pixel-level.}, language = {en} } @inproceedings{UlmerBraunChengetal.2020, author = {Ulmer, Jessica and Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg}, title = {Gamified Virtual Reality Training Environment for the Manufacturing Industry}, doi = {10.1109/ME49197.2020.9286661}, pages = {1 -- 6}, year = {2020}, language = {de} } @incollection{FateriGebhardt2020, author = {Fateri, Miranda and Gebhardt, Andreas}, title = {Introduction to Additive Manufacturing}, series = {3D Printing of Optical Components}, booktitle = {3D Printing of Optical Components}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-58960-8}, doi = {10.1007/978-3-030-58960-8_1}, pages = {1 -- 22}, year = {2020}, abstract = {Additive manufacturing (AM) works by creating objects layer by layer in a manner similar to a 2D printer with the "printed" layers stacked on top of each other. The layer-wise manufacturing nature of AM enables fabrication of freeform geometries which cannot be fabricated using conventional manufacturing methods as a one part. Depending on how each layer is created and bonded to the adjacent layers, different AM methods have been developed. In this chapter, the basic terms, common materials, and different methods of AM are described, and their potential applications are discussed.}, language = {en} } @inproceedings{ChavezBermudezWollert2020, author = {Chavez Bermudez, Victor Francisco and Wollert, J{\"o}rg}, title = {Arduino based Framework for Rapid Application Development of a Generic IO-Link interface}, series = {Kommunikation und Bildverarbeitung in der Automation}, booktitle = {Kommunikation und Bildverarbeitung in der Automation}, publisher = {Springer Vieweg}, address = {Berlin}, isbn = {978-3-662-59895-5}, doi = {10.1007/978-3-662-59895-5_2}, pages = {21 -- 33}, year = {2020}, abstract = {The implementation of IO-Link in the automation industry has increased over the years. Its main advantage is it offers a digital point-to-point plugand-play interface for any type of device or application. This simplifies the communication between devices and increases productivity with its different features like self-parametrization and maintenance. However, its complete potential is not always used. The aim of this paper is to create an Arduino based framework for the development of generic IO-Link devices and increase its implementation for rapid prototyping. By generating the IO device description file (IODD) from a graphical user interface, and further customizable options for the device application, the end-user can intuitively develop generic IO-Link devices. The peculiarity of this framework relies on its simplicity and abstraction which allows to implement any sensor functionality and virtually connect any type of device to an IO-Link master. This work consists of the general overview of the framework, the technical background of its development and a proof of concept which demonstrates the workflow for its implementation.}, language = {en} } @incollection{GebhardtHoetter2019, author = {Gebhardt, Andreas and Hoetter, Jan-Steffen}, title = {Rapid Tooling}, series = {CIRP Encyclopedia of Production Engineering}, booktitle = {CIRP Encyclopedia of Production Engineering}, publisher = {Springer}, address = {Berlin, Heidelberg}, isbn = {978-3-662-53120-4}, doi = {10.1007/978-3-662-53120-4}, pages = {39 -- 52}, year = {2019}, language = {en} } @article{UlmerGroeningerBraunetal.2020, author = {Ulmer, Jessica and Gr{\"o}ninger, Marc and Braun, Sebastian and Wollert, J{\"o}rg}, title = {AR Arbeitspl{\"a}tze: F{\"u}r hochflexible und skalierbare Produktionsumgebungen}, series = {atp Magazin}, volume = {62}, journal = {atp Magazin}, number = {10}, publisher = {Vulkan-Verlag}, address = {Essen}, issn = {2364-3137}, doi = {10.17560/atp.v62i10.2495}, year = {2020}, abstract = {Trotz fortschreitender Automatisierung bleiben manuelle T{\"a}tigkeiten ein wichtiger Baustein der Fertigung kundenindividueller Produkte. Um die Mitarbeiter(innen) zu unterst{\"u}tzen und um eine effiziente Arbeit zu erm{\"o}glichen, werden zunehmend auf Augmented Reality (AR) basierende Systeme eingesetzt. Die vorgestellte Arbeit konzentriert sich auf die Entwicklung ganzheitlicher AR-Arbeitspl{\"a}tze f{\"u}r den Einsatz in kleinen und mittleren Unternehmen (KMU). Das entwickelte AR- Handarbeitskonzept beinhaltet eine Just-in-time-Darstellung der Arbeitsaufgaben auf Werkst{\"u}cken mit automatisierter Fertigungskontrolle. Als Reaktion auf kurze Produktlebenszyklen und hohe Produktvielfalten sind alle Komponenten auf maximale Flexibilit{\"a}t ausgelegt. Ein Umr{\"u}sten auf neue Produkte kann innerhalb von Minuten erfolgen.}, language = {de} } @inproceedings{ChavezBermudezWollert2019, author = {Chavez Bermudez, Victor Francisco and Wollert, J{\"o}rg}, title = {Gateway for Automation Controllers and Cloud based Voice Recognition Services}, series = {KommA, 10. Jahreskolloquium Kommunikation in der Automation}, booktitle = {KommA, 10. Jahreskolloquium Kommunikation in der Automation}, publisher = {Institut f{\"u}r Automation und Kommunikation}, address = {Magdeburg}, organization = {KommA, 2019, Jahreskolloquium Kommunikation in der Automation, 10., Lemgo, DE, 2019-11-20 - 2019-11-21}, isbn = {978-3-944722-85-6}, pages = {1 -- 8}, year = {2019}, language = {en} } @article{WollbrinkMasloZimmeretal.2020, author = {Wollbrink, Moritz and Maslo, Semir and Zimmer, Daniel and Abbas, Karim and Arntz, Kristian and Bergs, Thomas}, title = {Clamping and substrate plate system for continuous additive build-up and post-processing of metal parts}, series = {Procedia CIRP}, volume = {93}, journal = {Procedia CIRP}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2212-8271}, doi = {10.1016/j.procir.2020.04.015}, pages = {108 -- 113}, year = {2020}, abstract = {The manufacturing share of laser powder bed fusion (L-PBF) increases in industrial application, but still many process steps are manually operated. Additionally, it is not possible to achieve tight dimensional tolerances or low surfaces roughness. Hence, a process chain has to be set up to combine additive manufacturing (AM) with further machining technologies. To achieve a continuous workpiece flow as basis for further industrialization of L-PBF, the paper presents a novel substrate system and its application on L-PBF machines and post-processing. The substrate system consists of a zero-point clamping system and a matrix-like interface of contact pins to be substantially connected to the workpiece within the L-PBF process.}, language = {en} } @article{UlmerBraunChengetal.2020, author = {Ulmer, Jessica and Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg}, title = {Human-Centered Gamification Framework for Manufacturing Systems}, series = {Procedia CIRP}, volume = {93}, journal = {Procedia CIRP}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2212-8271}, doi = {10.1016/j.procir.2020.04.076}, pages = {670 -- 675}, year = {2020}, abstract = {While bringing new opportunities, the Industry 4.0 movement also imposes new challenges to the manufacturing industry and all its stakeholders. In this competitive environment, a skilled and engaged workforce is a key to success. Gamification can generate valuable feedbacks for improving employees' engagement and performance. Currently, Gamification in workspaces focuses on computer-based assignments and training, while tasks that require manual labor are rarely considered. This research provides an overview of Enterprise Gamification approaches and evaluates the challenges. Based on that, a skill-based Gamification framework for manual tasks is proposed, and a case study in the Industry 4.0 model factory is shown.}, language = {en} } @article{KunkelGebhardtMpofuetal.2019, author = {Kunkel, Maximilian Hugo and Gebhardt, Andreas and Mpofu, Khumbulani and Kallweit, Stephan}, title = {Quality assurance in metal powder bed fusion via deep-learning-based image classification}, series = {Rapid Prototyping Journal}, volume = {26}, journal = {Rapid Prototyping Journal}, number = {2}, issn = {1355-2546}, doi = {10.1108/RPJ-03-2019-0066}, pages = {259 -- 266}, year = {2019}, language = {en} }