@article{EnningPfaff2017, author = {Enning, Manfred and Pfaff, Raphael}, title = {G{\"u}terwagen 4.0 - Der G{\"u}terwagen f{\"u}r das Internet der Dinge. Teil 1: Gesamtsystembetrachtung und grundlegendes Konzept}, series = {ETR - Eisenbahntechnische Rundschau}, volume = {66}, journal = {ETR - Eisenbahntechnische Rundschau}, number = {1/2}, publisher = {DVV Media Group}, address = {Hamburg}, issn = {0013-2845}, pages = {12 -- 16}, year = {2017}, language = {de} } @article{Enning2017, author = {Enning, Manfred}, title = {Vom "K{\"o}nig der Landstraße" zur "Ameise 4.0"}, series = {ETR - Eisenbahntechnische Rundschau}, volume = {66}, journal = {ETR - Eisenbahntechnische Rundschau}, number = {1/2}, publisher = {DVV Media Group}, address = {Hamburg}, issn = {0013-2845}, pages = {3}, year = {2017}, abstract = {Auf Eisenbahn- und Logistikkonferenzen werden gelegentlich Videos von Blattschneiderameisen gezeigt, die effizient und selbstorganisiert große Mengen Material durch den Dschungel transportieren. Daran sollen wir uns ein Beispiel nehmen.}, language = {de} } @inproceedings{FerreinSchifferKallweit2018, author = {Ferrein, Alexander and Schiffer, Stefan and Kallweit, Stephan}, title = {The ROSIN Education Concept - Fostering ROS Industrial-Related Robotics Education in Europe}, series = {ROBOT 2017: Third Iberian Robotics Conference}, booktitle = {ROBOT 2017: Third Iberian Robotics Conference}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-70836-2}, doi = {10.1007/978-3-319-70836-2_31}, pages = {370 -- 381}, year = {2018}, language = {en} } @book{GebhardtKesslerThurn2019, author = {Gebhardt, Andreas and Kessler, Julia and Thurn, Laura}, title = {3D printing : understanding additive manufacturing}, edition = {2. Auflage}, publisher = {Hanser}, address = {M{\"u}nchen}, isbn = {978-1-56990-702-3}, pages = {XVI, 204 Seiten}, year = {2019}, language = {en} } @article{BergSchleserDelidovichetal.2018, author = {Berg, Alexander-Karl and Schleser, Markus and Delidovich, Artem and Houben, Alexander}, title = {Ultraschallunterst{\"u}tzter Schmelzklebstoffauftrag}, series = {adh{\"a}sion KLEBEN \& DICHTEN}, volume = {Volume 62}, journal = {adh{\"a}sion KLEBEN \& DICHTEN}, number = {Issue 12}, publisher = {Springer}, doi = {10.1007/s35145-018-0089-z}, pages = {32 -- 37}, year = {2018}, language = {de} } @article{KampkerSchleserTriebsetal.2018, author = {Kampker, Achim and Schleser, Markus and Triebs, Johannes and Berg, Alexander-Karl and Hansen, Jan Ole and Fiedler, Falko}, title = {Bauteilintegrierte Vorrichtungsfunktionen im Karosseriebau : Aktuelle Ergebnisse im Forschungsprojekt ProeK}, series = {ZWF Zeitschrift f{\"u}r wirtschaftlichen Fabrikbetrieb}, volume = {113}, journal = {ZWF Zeitschrift f{\"u}r wirtschaftlichen Fabrikbetrieb}, number = {11}, publisher = {De Gruyter}, address = {Berlin}, issn = {0947-0085}, doi = {10.3139/104.112012}, pages = {767 -- 770}, year = {2018}, abstract = {Das Forschungsprojekt Produktionseffizienz in der Kleinserie (ProeK) erarbeitet kosteng{\"u}nstige und effiziente L{\"o}sungsans{\"a}tze f{\"u}r Prozessketten im Zukunftsfeld der Elektromobilit{\"a}t. Das Teilprojekt Karosserie setzt diese Zielsetzung durch innovative und praxisorientierte Produkt- und Prozesskonzepte mit neuartigen bauteilintegrierten Vorrichtungsfunktionen (BiV) um. Im Teilprojekt Außenhaut sollen Toleranzen adaptiv durch Anpassungen der Prozessparameter sowie Bauteilmanipulation kompensiert werden.}, language = {de} } @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} } @article{EngemannDuKallweitetal.2020, author = {Engemann, Heiko and Du, Shengzhi and Kallweit, Stephan and C{\"o}nen, Patrick and Dawar, Harshal}, title = {OMNIVIL - an autonomous mobile manipulator for flexible production}, series = {Sensors}, volume = {20}, journal = {Sensors}, number = {24, art. no. 7249}, publisher = {MDPI}, address = {Basel}, isbn = {1424-8220}, doi = {10.3390/s20247249}, pages = {1 -- 30}, year = {2020}, 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}, series = {Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika (ME)}, booktitle = {Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika (ME)}, publisher = {IEEE}, address = {New York, NY}, doi = {10.1109/ME49197.2020.9286661}, pages = {1 -- 6}, year = {2020}, abstract = {Industry 4.0 imposes many challenges for manufacturing companies and their employees. Innovative and effective training strategies are required to cope with fast-changing production environments and new manufacturing technologies. Virtual Reality (VR) offers new ways of on-the-job, on-demand, and off-premise training. A novel concept and evaluation system combining Gamification and VR practice for flexible assembly tasks is proposed in this paper and compared to existing works. It is based on directed acyclic graphs and a leveling system. The concept enables a learning speed which is adjustable to the users' pace and dynamics, while the evaluation system facilitates adaptive work sequences and allows employee-specific task fulfillment. The concept was implemented and analyzed in the Industry 4.0 model factory at FH Aachen for mechanical assembly jobs.}, language = {de} } @inproceedings{KoenigWolf2016, author = {K{\"o}nig, Johannes Alexander and Wolf, Martin}, title = {A new definition of competence developing games - and a framework to assess them}, series = {ACHI 2016 : The Ninth International Conference on Advances in Computer-Human Interactions}, booktitle = {ACHI 2016 : The Ninth International Conference on Advances in Computer-Human Interactions}, isbn = {978-1-61208-468-8}, pages = {95 -- 97}, year = {2016}, abstract = {There are different types of games that try to make use of the motivation of a gaming situation in learning contexts. This paper introduces the new terminology 'Competence Developing Game' (CDG) as an umbrella term for all games with this intention. Based on this new terminology, an assessment framework has been developed and validated in scope of an empirical study. Now, all different types of CDGs can be evaluated according to a defined and uniform set of assessment criteria and, thus, are comparable according to their characteristics and effectiveness.}, language = {en} }