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Although the extension of Prescott's method, together with the
algorithms to compute diverting targets, is enough for permitting a
robot build a map and navigate through an unknown environment,
we would like to explore other mapping methods, so that the combination of the
different methods adds robustness to the Navigation system.
With the current mapping method, the robot needs to see at least
three landmarks in order to be able to use the information stored
in the map. We would like to develop some other mapping methods to
cope with the situations in which the robot has very little
information (i.e. less than three landmarks). These methods would be
even more qualitative than our fuzzy extension of Prescott's method.
We could, for example, look at the field of Spatial Cognition, which
works with spatial relationships such as ``landmark X is at
the left hand side of the line connecting landmark Y and landmark Z''.