@inproceedings{UlmerWollertChengetal.2020, author = {Ulmer, Jessica and Wollert, J{\"o}rg and Cheng, C. and Dowey, S.}, title = {Enterprise Gamification f{\"u}r produzierende mittelst{\"a}ndische Unternehmen}, series = {Shaping automation for our future: 21. Leitkongress Mess- u. Automatisierungstechnik : Automation 2020 : 30. Juni u. 01. Juli 2020}, booktitle = {Shaping automation for our future: 21. Leitkongress Mess- u. Automatisierungstechnik : Automation 2020 : 30. Juni u. 01. Juli 2020}, publisher = {VDI-Verlag}, address = {D{\"u}sseldorf}, isbn = {978-3-18-092375-8}, pages = {157 -- 165}, year = {2020}, language = {de} } @article{FrankoDuKallweitetal.2020, author = {Franko, Josef and Du, Shengzhi and Kallweit, Stephan and Duelberg, Enno Sebastian and Engemann, Heiko}, title = {Design of a Multi-Robot System for Wind Turbine Maintenance}, series = {Energies}, volume = {13}, journal = {Energies}, number = {10}, publisher = {MDPI}, address = {Basel}, issn = {1996-1073}, doi = {10.3390/en13102552}, pages = {Article 2552}, year = {2020}, abstract = {The maintenance of wind turbines is of growing importance considering the transition to renewable energy. This paper presents a multi-robot-approach for automated wind turbine maintenance including a novel climbing robot. Currently, wind turbine maintenance remains a manual task, which is monotonous, dangerous, and also physically demanding due to the large scale of wind turbines. Technical climbers are required to work at significant heights, even in bad weather conditions. Furthermore, a skilled labor force with sufficient knowledge in repairing fiber composite material is rare. Autonomous mobile systems enable the digitization of the maintenance process. They can be designed for weather-independent operations. This work contributes to the development and experimental validation of a maintenance system consisting of multiple robotic platforms for a variety of tasks, such as wind turbine tower and rotor blade service. In this work, multicopters with vision and LiDAR sensors for global inspection are used to guide slower climbing robots. Light-weight magnetic climbers with surface contact were used to analyze structure parts with non-destructive inspection methods and to locally repair smaller defects. Localization was enabled by adapting odometry for conical-shaped surfaces considering additional navigation sensors. Magnets were suitable for steel towers to clamp onto the surface. A friction-based climbing ring robot (SMART— Scanning, Monitoring, Analyzing, Repair and Transportation) completed the set-up for higher payload. The maintenance period could be extended by using weather-proofed maintenance robots. The multi-robot-system was running the Robot Operating System (ROS). Additionally, first steps towards machine learning would enable maintenance staff to use pattern classification for fault diagnosis in order to operate safely from the ground in the future.}, 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} } @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{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} } @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} }