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International Conference on Information Technology for Balanced Automation Systems

BASYS 2006: Information Technology For Balanced Manufacturing Systems pp 131–140Cite as

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  2. Information Technology For Balanced Manufacturing Systems
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Distributted Work Environments for Collaborative Engineering

Distributted Work Environments for Collaborative Engineering

  • H.-H Erbe1 &
  • D. Müller2 
  • Conference paper
  • 1184 Accesses

  • 2 Citations

Part of the IFIP International Federation for Information Processing book series (IFIPAICT,volume 220)

Abstract

Extended and networked enterprises distribute the design of products, planning of the production process, and manufacturing regionally if not globally. The usual face-to-face work is going to be replaced, at least partly, if not totally, by computer mediated collaboration. Awaited are reduced problems of resolution cycle time, increasing productivity and agility, and reduced travel to remote sites, enabling more timely and effective interactions, faster design iterations, and improved resource management. Mixed reality based work environments support distributed collaborative work between remote sites. An application for solving a control task collaboratively is described.

Keywords

  • Virtual World
  • Remote Site
  • Mixed Reality
  • Haptic Rendering
  • Computer Support Collaborative Learn

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Center for Human Machine Systems, Technische Universität Berlin, 10623, Berlin, Germany

    H.-H Erbe

  2. arteLab, Universität Bremen, 28334, Bremen, Germany

    D. Müller

Authors
  1. H.-H Erbe
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  2. D. Müller
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© 2006 International Federation for Information Processing

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Erbe, HH., Müller, D. (2006). Distributted Work Environments for Collaborative Engineering. In: Information Technology For Balanced Manufacturing Systems. BASYS 2006. IFIP International Federation for Information Processing, vol 220. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-36594-7_14

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  • DOI: https://doi.org/10.1007/978-0-387-36594-7_14

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  • Print ISBN: 978-0-387-36590-9

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