@inproceedings{SchiemannHodappBerger, author = {Schiemann, Markus and Hodapp, Jan and Berger, Ulrich}, title = {Collaboration-Gap: A bus-modular architecture for human-robot-collaboration systems in production environments}, series = {International Symposium on Robotics, ISR 2018, June 20-21, 2018 Messe M{\"u}nchen, Entrance East, Munich, Germany}, booktitle = {International Symposium on Robotics, ISR 2018, June 20-21, 2018 Messe M{\"u}nchen, Entrance East, Munich, Germany}, publisher = {VDE Verlag}, address = {Berlin [u.a.]}, isbn = {978-3-8007-4699-6}, pages = {450 -- 454}, abstract = {Due to the extensive changes along with Industry 4.0 many established barriers drop. One of those barriers which increasingly disappears separates the workspace between human beings and robots and thus prevents a versatile collaborating environment. This change has led to the development of a wide field of research focusing on the prevention of human-robot impacts and/or the minimization of related risks. This paper is focused on safety regulations introduced as a consequence of those developments over the last ten years and particularly on an approach for demonstrating the unintended gap arising between human and robot due to those regulations. Modularity and integrability as two of the key characteristics in the concept of Reconfigurable Manufacturing Systems (RMS), serve as the comparative parameters.}, language = {en} } @misc{GebauerBusseLehmannetal., author = {Gebauer, Marc and Busse, Martin and Lehmann, Marlon Antonin and Winkler, Herwig and Berger, Ulrich}, title = {Lebenszyklusorientierte Betrachtung von technologiebasierten Gesch{\"a}ftsmodellinnovationen am Beispiel einer industriellen W{\"a}scherei}, series = {20. Forschungskolloquium am Fraunhofer IFF INDUSTRIE 4.0 - (R)EVOLUTION DER PRODUKTION}, journal = {20. Forschungskolloquium am Fraunhofer IFF INDUSTRIE 4.0 - (R)EVOLUTION DER PRODUKTION}, editor = {Schenk, Michael}, pages = {17 -- 26}, language = {de} } @misc{SchiemannBergerHodappetal., author = {Schiemann, Markus and Berger, Ulrich and Hodapp, Jan and Z{\"u}rn, Michael}, title = {Roboskin: Increased Robot Working Speed Within Human-Robot-Collaboration Safety Regulations}, series = {Conference Proceedings (IEEE Xplore)}, journal = {Conference Proceedings (IEEE Xplore)}, isbn = {978-1-7281-3325-6}, issn = {2251-2446}, doi = {10.1109/ICCAR.2019.8813448}, pages = {7}, language = {en} } @misc{SchiemannBergerZuernetal., author = {Schiemann, Markus and Berger, Ulrich and Z{\"u}rn, Michael and Reichenbach, Matthias}, title = {Mensch-Roboter-Kollaboration im Spannungsfeld von Rekonfigurierbarkeit, Sicherheit und Effizienz}, series = {20. Leitkongress der Mess- und Automatisierungstechnik ; AUTOMATION 2019}, journal = {20. Leitkongress der Mess- und Automatisierungstechnik ; AUTOMATION 2019}, publisher = {VDI}, address = {Baden-Banden}, isbn = {978-3-18-092351-2}, pages = {5 -- 14}, language = {de} } @misc{SchiemannBerger, author = {Schiemann, Markus and Berger, Ulrich}, title = {Mensch-Roboter-Kollaboration in einem vernetzten Produktionsumfeld, SmartSafety: Ein beschleunigter Inbetriebnahmeprozess}, series = {Zeitschrift f{\"u}r wirtschaftlichen Fabrikbetrieb : ZWF}, volume = {114}, journal = {Zeitschrift f{\"u}r wirtschaftlichen Fabrikbetrieb : ZWF}, number = {6}, issn = {2511-0896}, doi = {10.3139/104.112108}, pages = {364 -- 366}, language = {de} } @misc{KilimisZouLehmannetal., author = {Kilimis, Panagiotis and Zou, Wenchao and Lehmann, Marlon Antonin and Berger, Ulrich}, title = {A Survey on Digitalization for SMEs in Brandenburg, Germany}, series = {9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019: Berlin, Germany, 28-30 August 2019}, volume = {52}, journal = {9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019: Berlin, Germany, 28-30 August 2019}, number = {13}, issn = {2405-8963}, doi = {10.1016/j.ifacol.2019.11.522}, pages = {2145}, abstract = {Digitalization is widely accepted as a principal technological strategy and is expected to vastly impact and transform industry, predominantly by a substantial improvement of the entire value chain. However, its implementation process remains slow, in particular for small and medium-sized enterprises (SMEs), as they tend to have misconceptions about the complexity and expense of digitalization. The purpose of this research is to analyze factors that affect Brandenburg-State, DEU SMEs in their decision making process for an effective implementation of digital technologies in their daily business routine. The results of this study are based on a survey that was conducted in cooperation with fifty SMEs, which currently face problems in the areas of enterprise resource planning (ERP), CAD/CAM, automation, logistics and production/factory planning. Ten of these SMEs have decided to invest in digitalization measures and started the implementation process. Three of them were chosen for the case study to evaluate potential benefits, trade-offs and barriers hampering the implementation of digitalization technologies. These three companies are considered representative items, since their needs and measures investigated were identical to most of the companies of this survey. It was found that the overwhelming majority of the companies regard ERP implementation as their highest priority when investing in the most cost-effective technology.}, language = {en} } @techreport{SchmittBorckHentscheletal., author = {Schmitt, Randolf and Borck, Christian and Hentschel, Christian and Berger, Ulrich}, title = {Lightweight digital shadow concept for batch size one products and modular shopfloors}, doi = {10.26127/BTUOpen-5220}, pages = {4}, abstract = {The Digital Twin is seen as the step towards digitalization in many areas, including the area of manufacturing which is the focus of this paper. However, the frequently application-oriented development of concepts and initial implementations make it difficult to adapt them to other applications. Especially when production deviates from the usual highly automated processes and requires high flexibility, e.g. to allow batch size one. In such a case, the Digital Twin must support modular shopfloors with flexible areas in which different production times and various tools and machines are used. It should also be possible to react promptly to problems in production. Design errors that only become apparent during production must be reported directly. In order to deal with this problem, the paper presents a concept for an abstract representation of a Digital Shadow (DS). The DS combines the disciplines of production planning and control, product lifecycle and layout planning which creates new links and enables further application scenarios. Based on this Digital Shadow, different applications can be realized that provide user-related solutions. For this purpose, a tree structure is used that links information about the product and the production environment which in this case is variable.}, language = {en} } @misc{BorckSchmittBergeretal., author = {Borck, Christian and Schmitt, Randolf and Berger, Ulrich and Hentschel, Christian}, title = {Development of a IIoT Platform for Industrial Imaging Sensors}, series = {Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems. Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2021) and the 10th World Mass Customization \& Personalization Conference (MCPC2021), Aalborg, Denmark, October/November 2021}, journal = {Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems. Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2021) and the 10th World Mass Customization \& Personalization Conference (MCPC2021), Aalborg, Denmark, October/November 2021}, editor = {Andersen, Ann-Louise and Andersen, Rasmus and Brunoe, Thomas Ditlev and Stoettrup Schioenning Larsen, Maria and Nielsen, Kjeld and Napoleone, Alessia and Kjeldgaard, Stefan}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-90699-3}, doi = {10.1007/978-3-030-90700-6_37}, pages = {330 -- 338}, abstract = {In the industry, connecting machines and tools - also known as the industrial Internet of things (IIoT) - is an essential part of the digital transformation of a company. The aim is to increase the efficiency and predictability of complex processes. In manual and semi-automatic processes, imaging sensors can help to monitor conditions, gives automated feedbacks to a central system, and e.g. provide current information for a digital twin. However, when imaging sensors are integrated into established IIoT platforms, they quickly reach their system limits due to the multidimensionality and high update and data rates. This paper presents a software platform that enables decoupled automated image processing through the abstraction and contextualization of the sensor technology and its data as well as a plugin architecture. Analogous to edge computing, partial processing can already be performed close to the sensor node to condensate data and reduce network loads and latencies. Thereby, all these approaches increase the longevity, flexibility and scalability of multi-sensor systems and associated processing algorithms. Based on the generic structure of the sensor network, the user is provided with an intuitive user interface that is based on IIoT platforms and enables the integration of their processing pipelines even for non-experts, despite the high complexity of the data.}, language = {en} } @incollection{BilousStaedterGebaueretal., author = {Bilous, Vadym and St{\"a}dter, Philipp and Gebauer, Marc and Berger, Ulrich}, title = {Usage of Augmented Reality for Improved Human-Machine Interaction and Real-Time Error Correction of Laboratory Units}, series = {Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021}, booktitle = {Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021}, editor = {Sch{\"u}ppstuhl, Thorsten and Tracht, Kirsten and Raatz, Annika}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-74031-3}, doi = {10.1007/978-3-030-74032-0_22}, pages = {263 -- 274}, language = {en} } @misc{BergerLehmannPorsch, author = {Berger, Ulrich and Lehmann, Marlon Antonin and Porsch, Ronny}, title = {Selbstlernende Assistenzsysteme f{\"u}r Industrieroboter}, series = {Industrie 4.0 Management}, volume = {37}, journal = {Industrie 4.0 Management}, number = {6}, issn = {2364-9208}, pages = {23 -- 26}, abstract = {Intelligente Assistenzsysteme unterst{\"u}tzen die Mitarbeiter in der Produktion und erh{\"o}hen die Effizienz durch das Einblenden von situationsbasierten Aufgabeninformationen. Im Projekt Advanced Robot Assistance Solution (ARAS) im Rahmen des Kuka Innovation Awards 2021 wurde eine Assistenztechnologie entwickelt, um automatisiert Roboterprogramme f{\"u}r Montageabl{\"a}ufe zu generieren. Durch innovative Mensch-Maschine-Schnittstellen werden Montageschritte per maschinellem Lernen erkannt und in ausf{\"u}hrbare Programme f{\"u}r Industrieroboter {\"u}bersetzt. Dadurch k{\"o}nnen roboterbasierte Montageprozesse innerhalb von Minuten auf neue Produkte angepasst werden, ohne dass die Mitarbeiter {\"u}ber Kenntnisse des Programmierens oder der Robotik verf{\"u}gen m{\"u}ssen. Ein Mitarbeiter muss den Montageprozess nur einmal vormachen. Das ARAS-System erm{\"o}glicht die kosten- und zeiteffiziente Integration und Adaption von Industrierobotern in der Montage f{\"u}r große und mittelst{\"a}ndische Unternehmen.}, language = {de} }