%0 Journal Article
	%A Miloš Šeda and  Tomáš Březina
	%D 2011
	%J International Journal of Mechanical and Mechatronics Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 60, 2011
	%T Control and Navigation with Knowledge Bases
	%U https://publications.waset.org/pdf/1122
	%V 60
	%X In this paper, we focus on the use of knowledge bases
in two different application areas – control of systems with unknown
or strongly nonlinear models (i.e. hardly controllable by the classical
methods), and robot motion planning in eight directions. The first
one deals with fuzzy logic and the paper presents approaches for
setting and aggregating the rules of a knowledge base. Te second one
is concentrated on a case-based reasoning strategy for finding the
path in a planar scene with obstacles.
	%P 2572 - 2579