| Robotic odor localization has become a prominent research area in
recent years. It promises many valuable practical applications, and
contributes to the knowledge of biological odor localization, which
has in many cases been the source of inspiration. There have been a
diversity of approaches, implemented in both simulated and practical
experiments, with a wide variety of platforms, and in a number of
environments. This article presents a survey of the existing methods,
which have been organized into taxonomic classifications. This provides
a framework in which to evaluate the methods, view how they
relate to each other, and make qualitative comparisons. The methods
are grouped at the highest level by environmental conditions, and then
by the localization method which in most cases is closely associated
with the type of sensors used. |
