DocumentCode :
2721767
Title :
CPPA: A Fast Coverage Algorithm
Author :
Surve, Sunil ; Singh, N.M. ; Lande, B.K.
Author_Institution :
VJTI Mumbai, Mumbai
Volume :
2
fYear :
2007
fDate :
13-15 Dec. 2007
Firstpage :
151
Lastpage :
158
Abstract :
Most of the coverage path planning algorithms are based on the back-and-forth motions of the robot. Back and forth motion forces the robot to take sharp turns. The turns take significant time: the robot must slow down, orient in reverse direction and then accelerate. This is the major limitation of the approaches based on the back-and-forth motion. In this paper, coverage path planning algorithm (CPPA) is proposed which minimizes the coverage time by using the curvature path. It is based on cellular decomposition and curvature path planning algorithm based on maximum curvature constraints. The limitation of this approach is that it is applicable to relatively large environment. Therefore, this algorithm is more suitable for the applications like plowing, bridge inspection, landmine search, etc. This approach is compared with algorithm based on back-and-forth motion and it is found that this approach covers the environment faster than the algorithm based on back-and-forth motion.
Keywords :
curve fitting; mobile robots; motion control; path planning; CPPA; back-and-forth motion; cellular decomposition; coverage path planning algorithms; curvature path planning algorithm; fast coverage algorithm; maximum curvature constraints; robot motion; Acceleration; Cities and towns; Computational intelligence; Costs; Orbital robotics; Path planning; Robot sensing systems; Service robots; Space technology; Traveling salesman problems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location :
Sivakasi, Tamil Nadu
Print_ISBN :
0-7695-3050-8
Type :
conf
DOI :
10.1109/ICCIMA.2007.90
Filename :
4426686
Link To Document :
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