We introduce the concept of knowledge states; many well-known algorithms can be viewed as knowledge state algorithms. The knowledge state approach can be used to to construct comp...
Wolfgang W. Bein, Lawrence L. Larmore, John Noga, ...
Recent studies suggest that the mammalian genomes can be subdivided in segments within which there is limited haplotype diversity. Understanding the distribution and structure of ...
Jeremy W. Wang, Kyle J. Moore, Qi Zhang, Fernando ...
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
Abstract-- In this paper we consider the problem of monitoring a known set of stationary features (or locations of interest) in an environment. To observe a feature, a robot must v...
Consensus algorithms provide an elegant distributed way for computing the average of a set of measurements across a sensor network. However, the convergence of the node estimates t...
Yin Chen, Roberto Tron, Andreas Terzis, René...