Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
Two of the most important threads of work in knowledge representation today are frame-based representation systems (FRS's) and Bayesian networks (BNs). FRS's provide an ...
— In this work we discuss how the quality of localization knowledge impacts the remote operation of rovers on the surface of Mars. We look at the techniques of localization estim...
Mark W. Powell, Thomas Crockett, Jason Fox, Joseph...
— Personal service robots are expected to help people in their everyday life in the near future. Such robots must be able to not only move around but also perform various operati...
This contribution details how conceptual characterizations of route knowledge can provide the basis for graphical route information in a cognitively adequate way. The approach is b...
Alexander Klippel, Kai-Florian Richter, Stefan Han...