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In the past decade a critical mass of work that uses fuzzy logic
for autonomous vehicle navigation has been reported. Unfortunately,
reports of this work are scattered among conference, workshop, and
journal publications that belong to different research communities
(fuzzy logic, robotics, artificial intelligence, intelligent
control) and it is therefore not easily accessible either to the
new comer or to the specialist. As a result, researchers in this
area may end up reinventing things while being unaware of important
existing work. We believe that research and applications based on
fuzzy logic in the field of autonomous vehicle navigation have now
reached a sufficient level of maturity, and that it should be
suitably reported to the largest possible group of interested
practitioners, researches, and students. On these grounds, we have
endeavored to collect some of the most representative pieces of
work in one volume to be used as a reference. Our aim was to
provide a volume which is more than "yet another random collection
of papers," and gives the reader some added value with respect to
the individual papers. In order to achieve this goal we have aimed
at: * Selecting contributions which are representative of a wide
range of prob lems and solutions and which have been validated on
real robots; and * Setting the individual contributions in a clear
framework, that identifies the main problems of autonomous robotics
for which solutions based on fuzzy logic have been proposed.
In the past decade a critical mass of work that uses fuzzy logic
for autonomous vehicle navigation has been reported. Unfortunately,
reports of this work are scattered among conference, workshop, and
journal publications that belong to different research communities
(fuzzy logic, robotics, artificial intelligence, intelligent
control) and it is therefore not easily accessible either to the
new comer or to the specialist. As a result, researchers in this
area may end up reinventing things while being unaware of important
existing work. We believe that research and applications based on
fuzzy logic in the field of autonomous vehicle navigation have now
reached a sufficient level of maturity, and that it should be
suitably reported to the largest possible group of interested
practitioners, researches, and students. On these grounds, we have
endeavored to collect some of the most representative pieces of
work in one volume to be used as a reference. Our aim was to
provide a volume which is more than "yet another random collection
of papers," and gives the reader some added value with respect to
the individual papers. In order to achieve this goal we have aimed
at: * Selecting contributions which are representative of a wide
range of prob lems and solutions and which have been validated on
real robots; and * Setting the individual contributions in a clear
framework, that identifies the main problems of autonomous robotics
for which solutions based on fuzzy logic have been proposed.
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