A Guide to Heuristicbased Path Planning Dave Ferguson Maxim Likhachev and Anthony Stentz School of Computer Science Carnegie Mellon University Pittsburgh PA USA Abstract We describe a family of recen
We discuss the fundamental similarities between static algorithms eg A replanning algorithms eg D anytime algorithms eg ARA and anytime re planning algorithms eg AD We introduce the mo tivation behind each class of algorithms discuss their use on re
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