— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Abstract: Die im folgenden vorgestellte Diplomarbeit legt den theoretischen Rahmen f¨ur die verteilte Paarprogrammierung als Weiterentwicklung der klassischen Paarprogrammierung u...
Riad Djemili, Christopher Oezbek, Stephan Salinger