2007 | OriginalPaper | Chapter
Uses of Contextual Knowledge in Mobile Robots
Authors : D. Calisi, A. Farinelli, G. Grisetti, L. Iocchi, D. Nardi, S. Pellegrini, D. Tipaldi, V. A. Ziparo
Published in: AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Publisher: Springer Berlin Heidelberg
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In this paper, we analyze work on mobile robotics with the goal of highlighting the uses of contextual knowledge aiming at a flexible and robust performance of the system. In particular, we analyze different robotic tasks, ranging from robot behavior to perception, and then propose to characterize “contextualization” as a design pattern. As a result, we argue that many different tasks indeed can exploit contextual information and, therefore, a single explicit representation of knowledge about context may lead to significant advantages both in the design and in the performance of mobile robots.