As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
In this paper we describe an approach to sensor data integration in order to obtain a qualitative and robust interpretation of the robot environment, which could be used as input in the qualitative robot navigation algorithms developed by our group. This approach consists of: obtaining patterns of distance zones from the sensor readings; comparing statically these patterns in order to detect non-working sensors; integrating the patterns obtained by each kind of sensor in order to obtain a final pattern which detects obstacles of any sort; predicting how the distance pattern will be influenced by robot motion and comparing this prediction with reality in order to detect incoherent sensorimotor situations. This approach has been applied to a real Pioneer 2 robot and promising results are obtained.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.