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<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>31</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Plaku, E.</AUTHOR>
		<AUTHOR>Kavraki, L. E.</AUTHOR>
		<AUTHOR>Vardi, M. Y.</AUTHOR>
	</AUTHORS>
	<SECONDARY_AUTHORS>
		<SECONDARY_AUTHOR>W. Damm and H. Hermanns</SECONDARY_AUTHOR>
	</SECONDARY_AUTHORS>
	<YEAR>2007</YEAR>
	<TITLE>Hybrid Systems: From Verification to Falsification</TITLE>
	<SECONDARY_TITLE>International Conference on Computer Aided Verification (CAV)</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Berlin, Germany</PLACE_PUBLISHED>
	<PUBLISHER>Lecture Notes in Computer Science, Springer-Verlag Heidelberg</PUBLISHER>
	<VOLUME>4590</VOLUME>
	<PAGES>468--481</PAGES>
	<KEYWORDS>
		<KEYWORD>hybrid</KEYWORD>
		<KEYWORD>systems,</KEYWORD>
		<KEYWORD>kinodynamic/physics-based</KEYWORD>
		<KEYWORD>motion</KEYWORD>
		<KEYWORD>planning,</KEYWORD>
		<KEYWORD>project_Hybrid</KEYWORD>
	</KEYWORDS>
	<ABSTRACT>We propose HyDICE, Hybrid DIscrete Continuous Exploration,
               a multi-layered approach for hybrid-system testing that integrates 
               continuous sampling-based robot motion planning with discrete searching. 
               The discrete search uses the discrete transitions of the hybrid system and
               coarse-grained decompositions of the continuous state spaces or related
               projections to guide the motion planner during the search for witness
               trajectories. Experiments presented in this paper, using a hybrid system
               inspired by robot motion planning and with nonlinear dynamics associated 
               with each of several thousand modes, provide an initial validation of
               HyDICE and demonstrate its promise as a hybrid-system testing method.
               Comparisons to related work show computational speedups of up to two
               orders of magnitude.</ABSTRACT>
	<URL>http://www.kavrakilab.org/sites/default/files/PaperCAV_HyDICE-h.pdf</URL>
</RECORD>
</RECORDS></XML>