Home /Research /Direct Path Superfacets: An Intermediate Representation for Motion Planning
OTHER

Direct Path Superfacets: An Intermediate Representation for Motion Planning

Evis Plaku, Erion Plaku, Patricio Simari

Year
2016
Citations
9

Abstract

This paper presents an approach that combines geometry processing with motion planning to enable a robot to efficiently navigate in unstructured environments. The proposed approach relies on a novel oversegmentation method to produce a decomposition of the free space into a set of connected regions. This provides a general and simplified planning layer with navigational routes along which sampling-based motion planning expands a tree of collision-free and dynamically feasible motions to reach the goal. Experiments using robot models with nonlinear dynamics operating in complex environments show significant speedups over related work.

Keywords

Motion planningComputer sciencePath (computing)Representation (politics)Motion (physics)RobotSet (abstract data type)Tree (set theory)Configuration spaceArtificial intelligence

Related papers

Browse all OTHER papers