Add to ORKGFor mobile robots, as well as other learning systems, the ability to highlight unexpected features of their environ-ment- novelty detection- is very useful. One particularly important application for a robot equipped with novelty detection is inspection, highlighting potential problems in an environment. In this paper two novelty filters, both of which are capable of on-line and off-line novelty detection, are compared for two robot inspection tasks, one using sonar and the other camera images. The benefits and problems of using each of the filters are discussed and demon-strated
<p>Novelty detection algorithms applied to periodic signals recorded from the whisking robot for a 1...
Novelty detection is a process of recognizing changes based on learned knowledge. In this research, ...
<p>Novelty detection algorithms applied to periodic signals generated by simulation of the robot mod...
Abstract | For mobile robots, as well as other learn-ing systems, the ability to highlight unexpecte...
Mobile robot applications that involve automated exploration and inspection of environments are ofte...
Abstract: Mobile robot applications that involve exploration and inspection of dynamic envi-ronments...
Novelty detection is a very useful tool to differentiate between known {normal} and unknown (novelty...
Novelty detection is often treated as a one-class classification problem: how to segment a data set ...
This paper presents experiments with an autonomous inspection robot, whose task was to highlight nov...
We present a framework to perform novelty detection using visual input in which a mobile robot first...
This Thesis presents a system that allows a social human-interactive robot to be able to actively l...
Abstract. An approach for the semantic interpretation of image-based novelty in real-world environme...
Novelty detection is especially important for monitoring safety-critical systems in which novel cond...
We present experiments with an autonomous inspection robot, whose task was to highlight novel feat...
For many surveillance situations, the use of mobile robots has several advantages over static sensor...
<p>Novelty detection algorithms applied to periodic signals recorded from the whisking robot for a 1...
Novelty detection is a process of recognizing changes based on learned knowledge. In this research, ...
<p>Novelty detection algorithms applied to periodic signals generated by simulation of the robot mod...
Abstract | For mobile robots, as well as other learn-ing systems, the ability to highlight unexpecte...
Mobile robot applications that involve automated exploration and inspection of environments are ofte...
Abstract: Mobile robot applications that involve exploration and inspection of dynamic envi-ronments...
Novelty detection is a very useful tool to differentiate between known {normal} and unknown (novelty...
Novelty detection is often treated as a one-class classification problem: how to segment a data set ...
This paper presents experiments with an autonomous inspection robot, whose task was to highlight nov...
We present a framework to perform novelty detection using visual input in which a mobile robot first...
This Thesis presents a system that allows a social human-interactive robot to be able to actively l...
Abstract. An approach for the semantic interpretation of image-based novelty in real-world environme...
Novelty detection is especially important for monitoring safety-critical systems in which novel cond...
We present experiments with an autonomous inspection robot, whose task was to highlight novel feat...
For many surveillance situations, the use of mobile robots has several advantages over static sensor...
<p>Novelty detection algorithms applied to periodic signals recorded from the whisking robot for a 1...
Novelty detection is a process of recognizing changes based on learned knowledge. In this research, ...
<p>Novelty detection algorithms applied to periodic signals generated by simulation of the robot mod...