Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendri...
Abstract— In this paper, we present an incremental, multiresolution motion planning algorithm designed for systems with differential constraints. Planning for these sytems is mor...
Weintroduce a method of deduction-based refinement planning where prefabricated general solutions are adapted to special problems. Refmementproceeds by stepwise transforming nonco...
Abstract— The Rapidly-exploring Random Tree (RRT) algorithm has found widespread use in the field of robot motion planning because it provides a single-shot, probabilistically c...
Matthew Zucker, James J. Kuffner, Michael S. Brani...