Motion Planning for a Rigid Body Using Random Networks on the Medial Axis of the Free Space

Several motion planning methods using networks of randomly generated nodes in the free space have been shown to perform well in a number of cases, however their performance degrades when paths are required to pass through narrow passagesin the free space. In 16 we proposed MAPRM, a method of sampling the con guration space in which randomly generated con gurations, free or not, are retracted onto the medial axis of the free space without having to rst compute the medial axis; this was shown to increase sampling in narrow passages. In this paper we give details of the MAPRM algorithm for the case of a free- ying rigid body moving in three dimensions, and show that the retraction may be carried out without explicitly computing the Cobstacles or the medial axis. We give theoretical arguments to show that this improves sampling in narrow corridors, and present preliminary experimental results comparing the performance to uniform random sampling from the free space.

• Type: Conference
• Year: 1999
• Where: COMPGEOM
• Authors: Steven A. Wilmarth, Nancy M. Amato, Peter F. Stiller
• Keywords: COMPGEOM 1999, Discrete Geometry, Free Space, Medial Axis, Motion Planning Methods