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On Cognitive Reasoning for Compliant Manipulation Tasks in Smart Production Environments

  • Daniel LeidnerEmail author
Dissertation and Habilitation Abstracts
  • 7 Downloads

Abstract

Highly automated smart production environments require robots with autonomous planning mechanisms as well as effect-based performance inference methods. This report discusses the possibilities of cognitive reasoning for compliant manipulation tasks to satisfy these demands. The article builds on the representations for compliant wiping actions and their effects which are fundamental to many tasks in industrial manufacturing. It is described how these actions can be planned, executed, and interpreted by means of generic action descriptions and qualitative models.

Keywords

Cognitive reasoning Physical compliance Smart production 

Notes

Acknowledgements

I would like to thank euRobotics AISBL for awarding the presented dissertation with the Georges Giralt PhD Award 2018 and the Helmholtz Association for awarding me with the Doctoral Prize 2018 in the research field Aeronautics, Space, and Transport. This work was supported by the German Research Foundation (DFG) within the Collaborative Research Center EASE (SFB 1320) and by the Bavarian Ministry of Economic Affairs and Media, Energy and Technology within the SMiLE Project (grant LABAY97).

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Copyright information

© Gesellschaft für Informatik e.V. and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Deutsches Zentrum fur Luft- und Raumfahrt Institut fur Robotik und MechatronikWesslingGermany

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