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2016 | OriginalPaper | Buchkapitel

Cognition-Enabled Robot Control for Mixed Human-Robot Rescue Teams

verfasst von : Fereshta Yazdani, Benjamin Brieber, Michael Beetz

Erschienen in: Intelligent Autonomous Systems 13

Verlag: Springer International Publishing

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Abstract

In this paper we present a cognition-enabled control framework for robot control in mixed human-robot teams performing rescue missions after avalanches. We could focus on two key reasoning mechanisms: First, reasoning about the robot capabilities, which allow them to make best use of the hardware and software components they are equipped with. Second, context-directed interpretation of vague commands, which enables the human leader of the rescue team to state tasks naturally. Simulation-based reasoning mechanisms then refine the vague and ambiguous instructions in the given capability context to appropriate task interpretations. We could show that by employing these reasoning mechanisms we can specify generic plans that automatically adapt themselves to the robotic agent executing them.

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Titel: Cognition-Enabled Robot Control for Mixed Human-Robot Rescue Teams
verfasst von: Fereshta Yazdani
Benjamin Brieber
Michael Beetz
Verlag: Springer International Publishing
Buch: Intelligent Autonomous Systems 13
Print ISBN: 978-3-319-08337-7

Electronic ISBN: 978-3-319-08338-4

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-08338-4_98

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