Lennart Bochmann

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E-mail: lennart.soeren.bochmann@volkswagen.de ∗2Institute of Machine Tools and Manufacturing, ETH Zurich, Zurich, Switzerland ∗3Chair of Enterprise Logistics, Technical University of Dortmund, Dortmund, Germany ∗4Department of Computer Science VII, Technical University of Dortmund, Dortmund, Germany ∗5F/L/S Fuzzy Logik Systeme GmbH, Dortmund, Germany(More)
INTRODUCTION Additive Manufacturing (AM) can improve flexibility and convenience, lower manufacturing costs, and reduce time to market for many manufacturing applications [1,2]. Successfully implementing and expanding AM requires improvements in surface quality, shear and tensile strength, build time, accuracy, and precision of these processes [3]. Of these(More)
The development towards decentralized manufacturing systems aims at increased flexibility and robustness by maintaining the level of productivity. In order to meet these requirements, human-robot collaboration is considered as basic framework within future intelligent manufacturing cells. For industrial implementation, the concepts of smart production need(More)
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