In this paper we make use of the idea that a robot can autonomously discover objects and learn their appearances by poking and prodding at interesting parts of a scene. In order t...
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
— This paper considers the state feedback control of parameterized discrete event systems consisting of N similar processes for the problem of maintaining a predicate on the stat...
Hans Bherer, Jules Desharnais, Marc Frappier, Rich...
: We will study convolutional codes with the help of state space realizations. It will be shown that two such minimal realizations belong to the same code if and only if they are e...
This paper introduces MOCAS (Model Of Components for Adaptive Systems), a generic state-based component model which enables the self-adaptation of software components together wit...