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Natural Language Access to Intelligent Robots: Explaining Automatic Error Recovery
Autor: Längle, Thomas and Lüth, Tim C. and Stopp, Eva and Herzog, GerdHerausgeber:
The increasing intelligence and autonomy of modern robot systems
requires new and powerful man-machine-interfaces. For example, a
robot's capability to autonomously recover from error situations
corresponds with dynamic adjustments of robot plans during
execution. This makes it difficult for an operator to predict and
understand the behaviour of the machine. Explanations and
descriptions of why and how a certain plan has been changed would
impose the acceptance of robots. Descriptions are even more
important in error situations which can not be handled autonomously.
In this context, natural language is an effective tool of using
robots in a more flexible manner. In this article, the joint efforts
of the University of Karlsruhe and the University of Saarland to
provide a natural language explanation for the error recovery of the
autonomous, mobile, two-arm robot, KAMRO are reported.
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