In this chapter we have presented the performance of a localization method of legged AIBO
robots in not-engineered environments, using vision as an active input sensor. This method
is based on classic markovian approach but it has not been previously used with legged
robots in indoor office environments. We have shown that the robot is able to localize itself
in real time even inenvironments with noise produced by the human activity in a real office.
It deals with uncertainty in its actions and uses perceived natural landmarks of the
environment as the main sensor inpu
