T
Terje K. Lien
Researcher at Norwegian University of Science and Technology
Publications - 13
Citations - 1280
Terje K. Lien is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Robot & Industrial robot. The author has an hindex of 8, co-authored 13 publications receiving 1113 citations.
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Journal ArticleDOI
Cooperation of human and machines in assembly lines
TL;DR: In this article, a survey about forms of human-machine cooperation in assembly and available technologies that support the cooperation is presented, including organizational and economic aspects of cooperative assembly including efficient component supply and logistics.
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Assembly system design and operations for product variety
S.J. Hu,Jeonghan Ko,L. Weyand,Hoda A. ElMaraghy,Terje K. Lien,Yoram Koren,Helmut Bley,George Chryssolouris,Nabil Nasr,Moshe Shpitalni +9 more
TL;DR: A review of the state of the art research in the areas of assembly system design, planning and operations in the presence of product variety is presented in this article, where methods for assembly representation, sequence generation and assembly line balancing are reviewed and summarized.
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A novel gripper for limp materials based on lateral Coanda ejectors
Terje K. Lien,P.G.G. Davis +1 more
TL;DR: In this paper, the authors describe a new gripping principle based on a novel Coanda effect ejector meeting the challenges of thin materials like textiles, leather, porous tissues, meat and fish fillets.
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Hybrid Automatic-manual Assembly Systems
Terje K. Lien,Finn Ola Rasch +1 more
TL;DR: In this article, the authors describe two basic principles for the manual assembly: the parallel arrangement of stations, and the sequential arrangement, and present a theoretical model for the possible output as function of production volume, number of assembly operations, and station operation time imbalance, which enables prediction of the performance and selection of the optimal system for a given set of conditions.
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Robot control system for grinding of large hydro power turbines
TL;DR: In this article, the authors present a robot control system dedicated to grinding large Francis turbines, based on an active force feedback system using a three-axes force sensor attached to the robot's end effector.