We develop a novel framework to assess the risk of misperception in a tr...
We consider a class of stochastic dynamical networks whose governing dyn...
For a given stable recurrent neural network (RNN) that is trained to per...
Recurrent Neural networks (RNN) have shown promising potential for learn...
We consider the problem of classifying a map using a team of communicati...
We propose a planning and perception mechanism for a robot (agent), that...
We show that the steady-state variance as a performance measure for a cl...
We investigate a classification problem using multiple mobile agents tha...
We consider the visual feature selection to improve the estimation quali...
A proper abstraction of a large-scale linear consensus network with a de...