In this paper, we present a framework for a robotic system with the ability to perform real-world manipulation tasks. The complexity of such tasks determines the precision and fre...
Danica Kragic, Lars Petersson, Henrik I. Christens...
Multicast-based inference has been proposed as a method of estimating average loss rates of internal network links, using end-to-end loss measurements of probes sent over a multic...
Recognizable transductions constitute a proper subclass of rational transductions, characterized by the well-known Mezei’s Theorem. We propose a family of transducers which refl...
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...
Interoperability of heterogeneous networked systems has yet to reach the maturity required by ubiquitous computing due to the technology-dependent nature of solutions. The Connect ...
Marco Autili, Chris Chilton, Paola Inverardi, Mart...