DocumentCode :
1828409
Title :
Modified A* algorithm for safer mobile robot navigation
Author :
ElHalawany, Basem M. ; Abdel-kader, H.M. ; TagEldeen, Adly ; Elsayed, Alaa Eldeen ; Nossair, Zaki B.
Author_Institution :
Electron. & Commun. Dept., Benha Univ., Cairo, Egypt
fYear :
2013
fDate :
Aug. 31 2013-Sept. 2 2013
Firstpage :
74
Lastpage :
78
Abstract :
Mobile robot navigation is a very important task in all robot applications from domestic service cleaning machine to highly sophisticated industrial robotic applications. In this paper, we investigated, and evaluated the well-known A* path planning algorithm. The standard A* algorithm is capable of finding out the most optimal path of the robot. A grid-based map obtained from the vision-based obstacle detection system in [2] as an input to the A* algorithm. Standard A* does not take the size of the robot into consideration which could produce unsafe paths for the robot to follow and collision could be occurs. Our proposed modified A* algorithm takes the robot size as a parameter to generate a safer path for the robot and avoid sharp turns. The Direction of Arrival (DOA) is used as a restriction to the path planning process which is a requirement in some robotic applications.
Keywords :
direction-of-arrival estimation; mobile robots; object detection; path planning; robot vision; A* path planning algorithm; DOA; direction of arrival; domestic service cleaning machine; grid-based map; industrial robotic applications; mobile robot navigation; robot size; vision-based obstacle detection system; Collision avoidance; Direction-of-arrival estimation; Educational institutions; Mobile robots; Path planning; Standards; A* algorithm; Robotic simulation; path planning; robotic navigation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling, Identification & Control (ICMIC), 2013 Proceedings of International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-0-9567157-3-9
Type :
conf
Filename :
6642217
Link To Document :
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