Home /Research /Path Planning with Modified a Star Algorithm for a Mobile Robot
PERCEPTION

Path Planning with Modified a Star Algorithm for a Mobile Robot

František Duchoň, Andrej Babinec, Martin Kajan, Peter Beňo, Martin Florek, Tomáš Fico, Ladislav Jurišica

Year
2014
Citations
855

Abstract

This article deals with path planning of a mobile robot based on a grid map. Essential assumption for path planning is a mobile robot with functional and reliable reactive navigation and SLAM. Therefore, such issues are not addressed in this article. The main body of the article introduces several modifications (Basic Theta*, Phi*) and improvements (RSR, JPS) of A star algorithm. These modifications are focused primarily on computational time and the path optimality. Individual modifications were evaluated in several scenarios, which varied in the complexity of environment. On the basis of these evaluations, it is possible to choose path planning method suitable for individual scenario.

Keywords

Motion planningMobile robotPath (computing)A* search algorithmComputer scienceGridRobotAlgorithmStar (game theory)Mobile robot navigation

Related papers

Browse all PERCEPTION papers