TY - CHAP A1 - Schiemann, Markus A1 - Hodapp, Jan A1 - Berger, Ulrich T1 - Collaboration-Gap: A bus-modular architecture for human-robot-collaboration systems in production environments T2 - International Symposium on Robotics, ISR 2018, June 20-21, 2018 Messe München, Entrance East, Munich, Germany N2 - 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. KW - Human-Robot-Collaboration KW - Robot Safety Y1 - 2018 SN - 978-3-8007-4699-6 SP - 450 EP - 454 PB - VDE Verlag CY - Berlin [u.a.] ER - TY - GEN A1 - Gebauer, Marc A1 - Busse, Martin A1 - Lehmann, Marlon Antonin A1 - Winkler, Herwig A1 - Berger, Ulrich ED - Schenk, Michael T1 - Lebenszyklusorientierte Betrachtung von technologiebasierten Geschäftsmodellinnovationen am Beispiel einer industriellen Wäscherei T2 - 20. Forschungskolloquium am Fraunhofer IFF INDUSTRIE 4.0 - (R)EVOLUTION DER PRODUKTION KW - Geschäftsmodellinnovation KW - Lebenszyklus KW - Wäscherei Y1 - 2019 UR - https://www.iff.fraunhofer.de/de/publikationen/forschungskolloquium.html SP - 17 EP - 26 ER - TY - GEN A1 - Schiemann, Markus A1 - Berger, Ulrich A1 - Hodapp, Jan A1 - Zürn, Michael T1 - Roboskin: Increased Robot Working Speed Within Human-Robot-Collaboration Safety Regulations T2 - Conference Proceedings (IEEE Xplore) KW - Human-Robot-Collaboration KW - Safety Y1 - 2019 SN - 978-1-7281-3325-6 U6 - https://doi.org/10.1109/ICCAR.2019.8813448 SN - 2251-2446 ER - TY - GEN A1 - Schiemann, Markus A1 - Berger, Ulrich A1 - Zürn, Michael A1 - Reichenbach, Matthias T1 - Mensch-Roboter-Kollaboration im Spannungsfeld von Rekonfigurierbarkeit, Sicherheit und Effizienz T2 - 20. Leitkongress der Mess- und Automatisierungstechnik ; AUTOMATION 2019 KW - Mensch-Roboter-Kollaboration KW - Sicherheitstechnik Y1 - 2019 SN - 978-3-18-092351-2 SP - 5 EP - 14 PB - VDI CY - Baden-Banden ER - TY - GEN A1 - Schiemann, Markus A1 - Berger, Ulrich T1 - Mensch-Roboter-Kollaboration in einem vernetzten Produktionsumfeld, SmartSafety: Ein beschleunigter Inbetriebnahmeprozess T2 - Zeitschrift für wirtschaftlichen Fabrikbetrieb : ZWF Y1 - 2019 U6 - https://doi.org/10.3139/104.112108 SN - 2511-0896 VL - 114 IS - 6 SP - 364 EP - 366 ER - TY - GEN A1 - Kilimis, Panagiotis A1 - Zou, Wenchao A1 - Lehmann, Marlon Antonin A1 - Berger, Ulrich T1 - A Survey on Digitalization for SMEs in Brandenburg, Germany T2 - 9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019: Berlin, Germany, 28–30 August 2019 N2 - 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. Y1 - 2019 U6 - https://doi.org/10.1016/j.ifacol.2019.11.522 SN - 2405-8963 VL - 52 IS - 13 SP - 2145 ER - TY - RPRT A1 - Schmitt, Randolf A1 - Borck, Christian A1 - Hentschel, Christian A1 - Berger, Ulrich T1 - Lightweight digital shadow concept for batch size one products and modular shopfloors N2 - 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. KW - Digital Shadow KW - Digital Twin KW - Flexible Manufacturing KW - Industry 4.0 KW - SME Y1 - 2020 U6 - https://doi.org/10.26127/BTUOpen-5220 ER - TY - GEN A1 - Borck, Christian A1 - Schmitt, Randolf A1 - Berger, Ulrich A1 - Hentschel, Christian ED - Andersen, Ann-Louise ED - Andersen, Rasmus ED - Brunoe, Thomas Ditlev ED - Stoettrup Schioenning Larsen, Maria ED - Nielsen, Kjeld ED - Napoleone, Alessia ED - Kjeldgaard, Stefan T1 - Development of a IIoT Platform for Industrial Imaging Sensors T2 - 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 N2 - 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. Y1 - 2021 SN - 978-3-030-90699-3 SN - 978-3-030-90702-0 U6 - https://doi.org/10.1007/978-3-030-90700-6_37 SP - 330 EP - 338 PB - Springer CY - Cham ER - TY - CHAP A1 - Bilous, Vadym A1 - Städter, Philipp A1 - Gebauer, Marc A1 - Berger, Ulrich ED - Schüppstuhl, Thorsten ED - Tracht, Kirsten ED - Raatz, Annika T1 - Usage of Augmented Reality for Improved Human-Machine Interaction and Real-Time Error Correction of Laboratory Units T2 - Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021 KW - Augmented reality KW - Error correction KW - Human-machine interaction KW - Industry 4.0 KW - Technical assistance systems KW - Data transfer Y1 - 2022 SN - 978-3-030-74031-3 U6 - https://doi.org/10.1007/978-3-030-74032-0_22 SP - 263 EP - 274 PB - Springer CY - Cham ER - TY - GEN A1 - Berger, Ulrich A1 - Lehmann, Marlon Antonin A1 - Porsch, Ronny T1 - Selbstlernende Assistenzsysteme für Industrieroboter T2 - Industrie 4.0 Management N2 - Intelligente Assistenzsysteme unterstützen die Mitarbeiter in der Produktion und erhöhen 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 für Montageabläufe zu generieren. Durch innovative Mensch-Maschine-Schnittstellen werden Montageschritte per maschinellem Lernen erkannt und in ausführbare Programme für Industrieroboter übersetzt. Dadurch können roboterbasierte Montageprozesse innerhalb von Minuten auf neue Produkte angepasst werden, ohne dass die Mitarbeiter über Kenntnisse des Programmierens oder der Robotik verfügen müssen. Ein Mitarbeiter muss den Montageprozess nur einmal vormachen. Das ARAS-System ermöglicht die kosten- und zeiteffiziente Integration und Adaption von Industrierobotern in der Montage für große und mittelständische Unternehmen. Y1 - 2021 SN - 2364-9208 VL - 37 IS - 6 SP - 23 EP - 26 ER -