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Auflistung nach Schlagwort "Collaborative robots"

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  • Zeitschriftenartikel
    Cloud Robotik
    (HMD Praxis der Wirtschaftsinformatik: Vol. 57, No. 6, 2020) Ricken, Karl-Albrecht; Verzano, Nemrude
    Über die letzten zehn Jahre haben sich Logistikketten und -prozesse teilweise drastisch verändert. Das liegt einerseits am Trend zu eCommerce und steigender Nachfrage nach individualisierten Produkten und Dienstleistungen. Andererseits haben Fortschritte in der IT-Hardware neue Möglichkeiten eröffnet. Sogenannte kollaborative Roboter gewinnen an Bedeutung, um Produktivität und vor allem Agilität in Produktion und Logistik zu verbessern. Roboterautomatisierung wurde bisher durch Komplexität und Kosten einer kundenspezifischen Systemintegration gebremst, die zeitaufwändig und teuer ist. Heute sind erst 20–30 % aller Fertigungs- und Logistikabläufe automatisiert. Die Verfasser erwarten, dass die Industrie 4.0-Arbeit bei SAP das Potenzial hat, Automatisierung deutlich einfacher und billiger zu machen. Cloud Robotik erweitert das mit einer neuartigen Integration autonomer Roboter in Logistikprozesse. Google veröffentliche im Mai 2019 eine offene, cloudbasierte Automatisierungsplattform für Hersteller von Robotern, Systemintegratoren und Softwareentwickler. SAP entwickelte und veröffentlichte darauf aufbauend eine neue, quelloffene Form der Cloud-Edge Integration, die autonome Roboter unterschiedlicher Hersteller für Prozesse der Lagerlogistik orchestriert. Anwender von SAP Extended Warehouse Management (EWM) können damit schnell und einfach kollaborative Transportroboter mit Prozessen der Lagerlogistik wie Einlagern, Auslagern oder Cross-Docking integrieren. Darüber hinaus skaliert die Lösung; Anwender können ad-hoc weitere Roboter hinzufügen. Dieser Artikel begründet zunächst, warum autonome, kollaborative Roboter einer neuen Art der Integration mit betriebswirtschaftlichen Anwendungen benötigen und beschreibt technologische Grundlagen eines neuen Ansatzes zur Cloud-Edge Integration. Danach stellt er die Cloud Robotik Lösung vor, vergleicht diese traditionellen Integrationsansätzen und beschreibt eine Implementierung. The shift towards eCommerce and increased consumer demand for customized products and services along with hardware-related improvements, has been driving significant changes in supply-chain processes. To cope with those different challenges, especially in shop floors, warehouses, and increasingly in logistics, automation and collaborative robotics increasingly gain relevance to increase agility and productivity in these domains. Robotic automation is being held back by the complexity and effort of custom system integration, which is time-consuming and expensive. Today only 20–30% of manufacturing or logistics operations are automated. We believe that the current Industrie 4.0 initiatives at SAP and Cloud Robotics have the potential to make automation drastically faster and cheaper. While SAP’s engagement in the German Industrie 4.0 Platform is being realized through the Asset Administration Shell implementation to provide an easy way to integrate assets to business processes, Cloud Robotics complements this with a new form of integrating autonomous robots into logistics processes. In May 2019, Google released Google’s Cloud Robotics Core, an open, cloud-based automation platform for robotics hardware manufacturers, integrators, and software developers. SAP’s focus is the orchestration of robots from different vendors as a fleet for a variety of logistics processes and SAP also released the necessary extensions to work with Google’s Cloud Robotics as open source packages. Cloud Robotics enables users of SAP Extended Warehouse Management (EWM) to quickly deploy and integrate autonomous warehouse robots into their operations and scale ad-hoc. This article justifies why autonomous robots require a different integration with business applications and describes a new technological foundation for Cloud-Edge-Integration. Subsequently it introduces Cloud Robotics as a solution, compares this with other robotic platforms and describes an implementation.
  • Zeitschriftenartikel
    Plug, Plan and Produce as Enabler for Easy Workcell Setup and Collaborative Robot Programming in Smart Factories
    (KI - Künstliche Intelligenz: Vol. 33, No. 2, 2019) Wojtynek, Michael; Steil, Jochen Jakob; Wrede, Sebastian
    The transformation of today’s manufacturing lines into truly adaptive systems facilitating individualized mass production requires new approaches for the efficient integration, configuration and control of robotics and automation components. Recently, various types of Plug-and-Produce architectures were proposed that support the discovery, integration and configuration of field devices, automation equipment or industrial robots during commissioning or even operation of manufacturing systems. However, in many of these approaches, the configuration possibilities are limited, which is a particular problem if robots operate in dynamic environments with constrained workspaces and exchangeable automation components as typically required for flexible manufacturing processes. In this article, we introduce an extended Plug-and-Produce concept based on dynamic motion planning, co-simulation and a collaborative human-robot interaction scheme that facilitates the quick adaptation of robotics behaviors in the context of a modular production system. To confirm our hypothesis on the efficiency and usability of this concept, we carried out a feasibility study where participants performed a flexible workcell setup. The results indicate that the assistance and features for planning effectively support the users in tasks of different complexity and that a quick adaption is indeed possible. Based on our observations, we identify further research challenges in the context of Plug, Plan and Produce applied to smart manufacturing.