Learning to guide random tree planners in high dimensional spaces

In this paper we present the projection and bias heuristic (PBH), a motion planning algorithm that makes use of low-dimensional projections to improve sampling-based planning algorithms. In contrast to other state-of-the-art methods, we do not assume that projections are either random or given by an...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Rowekamper, Jorg, Tipaldi, Gian Diego, Burgard, Wolfram
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Heuristic algorithms Joints Manipulators Mobile communication Planning Switches
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