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Self-optimization as an Enabler for Flexible and Reconfigurable Assembly Systems

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Intelligent Robotics and Applications (ICIRA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7102))

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Abstract

In the face of continuously increasing cost pressure, a wide range of product versions and shorter innovation cycles, the demand for more versatile assembly and handling systems is steadily growing. Co-operating robots represent a suitable approach for this purpose. However, reconfiguring a multi-device robot cell usually involves a certain programming effort and unfavorable down times. By integrating self-optimizing functions, the complex task of reconfiguration is substantially simplified in order to make economic use not only of the referenced co-operating robotic systems. Therefore, several self-optimizing functions for different stages of production have been developed and applied to various production tasks. The implemented functions comprise self-optimizing planning and commissioning as well as a self-optimizing joining process. Based on the experience gained from these examples, the self-optimizing functions will be similarly applicable to various cases with relatively small additional effort.

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© 2011 Springer-Verlag Berlin Heidelberg

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Müller, R. et al. (2011). Self-optimization as an Enabler for Flexible and Reconfigurable Assembly Systems. In: Jeschke, S., Liu, H., Schilberg, D. (eds) Intelligent Robotics and Applications. ICIRA 2011. Lecture Notes in Computer Science(), vol 7102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25489-5_18

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  • DOI: https://doi.org/10.1007/978-3-642-25489-5_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25488-8

  • Online ISBN: 978-3-642-25489-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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