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On Cognitive Reasoning for Compliant Manipulation Tasks in Smart Production Environments

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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.

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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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  1. Deutsches Zentrum fur Luft- und Raumfahrt Institut fur Robotik und Mechatronik, Münchener Str. 20, 82234, Wessling, Germany

    Daniel Leidner

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  1. Daniel Leidner
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Correspondence to Daniel Leidner.

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Leidner, D. On Cognitive Reasoning for Compliant Manipulation Tasks in Smart Production Environments. Künstl Intell 33, 197–200 (2019). https://doi.org/10.1007/s13218-019-00578-1

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