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Using Fuzzy Logic to Monitor the State of an Ubiquitous Robotic System
D. Guarino and A. Saffiotti
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Abstract
A trend is emerging in the fields of ambient intelligence (AmI) and
autonomous robotics, which points in the direction of a merger between
these two fields. The inclusion of robotic devices in AmI system,
sometimes named ubiquitous robotics, makes one of the hard
problems in this field even harder: how can we provide a comfortable,
natural interface between the everyday user and a complex system which
consists of a large multitude of highly heterogeneous devices? In this
paper, we address a specific, important aspect of this problem: to
enable the user of an ubiquitous robotic system to monitor the state of
this system in a natural way. The solution that we propose is based on
two mechanisms: an expression-based semantics to represent in a uniform
way the status of heterogeneous devices; and a common interface point to
aggregate the information from all devices into a summary status
presented to the user. For both mechanisms, we propose to use the tools
of fuzzy logic. We justify this choice by arguments grounded in the
semantics and formal properties of fuzzy logic. We also illustrate our
approach on a specific type of ubiquitous robotic system called
Ecology of Physically Embedded Intelligent Systems, or
Peis-Ecology.
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