A new model for the construction of a sonar map in a specular environm
ent has been developed and implemented. In a real world, where most of
the object surfaces are specular ones, a sonar sensor suffers from a
multipath effect which results in a wrong interpretation of an object'
s location. To reduce this effect and hence to construct a reliable ma
p of a robot's surroundings, a probabilistic approach based on Bayesia
n reasoning is adopted to both evaluation of object orientations and e
stimation of an occupancy probability of a cell by an object. The usef
ulness of this approach is illustrated with the results produced by ou
r mobile robot equipped with ultrasonic sensors.