Title :
Sparsification of motion-planning roadmaps by edge contraction
Author :
Shaharabani, Doron ; Salzman, Oren ; Agarwal, Pankaj K. ; Halperin, Dan
Author_Institution :
Balvatnic Sch. of Comput. Sci., Tel-Aviv Univ., Tel Aviv, Israel
Abstract :
We present Roadmap Sparsification by Edge Contraction (RSEC), a simple and effective algorithm for reducing the size of a motion-planning roadmap. The algorithm exhibits minimal effect on the quality of paths that can be extracted from the new roadmap. The primitive operation used by RSEC is edge contraction-the contraction of a roadmap edge to a single vertex and the connection of the new vertex to the neighboring vertices of the contracted edge. For certain scenarios, we compress more than 98% of the edges and vertices at the cost of degradation of average shortest path length by at most 2%.
Keywords :
graph theory; path planning; RSEC; average shortest path length; compression; graph; motion-planning roadmaps sparsification; neighboring vertices; roadmap sparsification by edge contraction; vertex; Approximation algorithms; Approximation methods; Degradation; Educational institutions; Image edge detection; Joining processes; Motion-planning;
Conference_Titel :
Robotics and Automation (ICRA), 2013 IEEE International Conference on
Conference_Location :
Karlsruhe
Print_ISBN :
978-1-4673-5641-1
DOI :
10.1109/ICRA.2013.6631155