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Deutsche Normungsroadmap Künstliche Intelligenz

2020 , Adler, R. , Kolomiichuk, Sergii , Hecker, Dirk , Lämmel, Philipp , Ma, Jackie , Marko, Angelina , Mock, Michael , Nagel, Tobias , Poretschkin, Maximilian , Rennoch, Axel , Röhler, Marcus , Ruf, Miriam , Schönhof, Raoul , Schneider, Martin A. , Tcholtchev, Nikolay , Ziehn, Jens , Böttinger, Konstantin , Jedlitschka, Andreas , Oala, Luis , Sperl, Philip , Wenzel, Markus , et al.

Die deutsche Normungsroadmap Künstliche Intelligenz (KI) verfolgt das Ziel, für die Normung Handlungsempfehlungen rund um KI zu geben, denn sie gilt in Deutschland und Europa in fast allen Branchen als eine der Schlüsseltechnologien für künftige Wettbewerbsfähigkeit. Die EU geht davon aus, dass die Wirtschaft in den kommenden Jahren mit Hilfe von KI stark wachsen wird. Umso wichtiger sind die Empfehlungen der Normungsroadmap, die die deutsche Wirtschaft und Wissenschaft im internationalen KI-Wettbewerb stärken, innovationsfreundliche Bedingungen schaffen und Vertrauen in die Technologie aufbauen sollen.

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Innovative control of assembly systems and lines

2017 , Krüger, Jörg , Wang, Lihui , Verl, Alexander , Bauernhansl, Thomas , Carpanzano, Emanuele , Makris, Sotiris , Fleischer, Jürgen , Reinhart, Gunther , Franke, Jörg , Pellegrinelli, Stefania

The increasing demand for flexibility and reconfigurability of assembly lines generates new challenges for the control of these lines and their subsystems, such as robots, grippers, conveyors or automated guided vehicles. Also new requirements for their interaction between each other and the environment as well as with humans arise. On the other hand the rapid change of information and communication technology opens new potentials for innovative control. Due to the high degree of interconnection between controllers, actuators and sensors, the classical automation pyramid is replaced by networked structures with a higher degree of flexibility, but also higher complexity. This trend is supported by the ability to collect and process data within cloud environments, the rapid increase of computational power of decentralized and embedded controllers and the high potential of machine learning for automation. This keynote gives an overview of innovative approaches in ICT and robotics for flexible control and automation of assembly lines and systems.

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Selbstorganisierende Produktion - SOPRO

2012 , Hohwieler, Eckhard , Eggers, Achim , Schallock, Burkhard , Baumann, Michael , Kraft, Manfred , Urban, Kamilla , Niedermayer, Michael , Schlenker, Dirk , Schrank, Kai , Patzlaff, Marcel , Erdene-Ochir, Tuguldur , Chemnitz, Moritz