International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 97 - Issue 11 |
Published: July 2014 |
Authors: Min Raj Nepali, Amar Mani Aryal, Ashutosh, Kamal Lamichhane |
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Min Raj Nepali, Amar Mani Aryal, Ashutosh, Kamal Lamichhane . Implementation and Comparative Study of Algorithms to Avoid Obstacles in Mobile Robot Navigation. International Journal of Computer Applications. 97, 11 (July 2014), 13-18. DOI=10.5120/17051-7228
@article{ 10.5120/17051-7228, author = { Min Raj Nepali,Amar Mani Aryal,Ashutosh,Kamal Lamichhane }, title = { Implementation and Comparative Study of Algorithms to Avoid Obstacles in Mobile Robot Navigation }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 97 }, number = { 11 }, pages = { 13-18 }, doi = { 10.5120/17051-7228 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Min Raj Nepali %A Amar Mani Aryal %A Ashutosh %A Kamal Lamichhane %T Implementation and Comparative Study of Algorithms to Avoid Obstacles in Mobile Robot Navigation%T %J International Journal of Computer Applications %V 97 %N 11 %P 13-18 %R 10.5120/17051-7228 %I Foundation of Computer Science (FCS), NY, USA
It is a challenging task to make a mobile robot navigate to a desired goal in an environment with obstacles. It is sure that, just path planning algorithm will not be able to guide the robot to the desired goal in such environment. Certain kind of Obstacle avoiding algorithm is to be incorporated along with the path planning algorithm to achieve the aforementioned objective. Among the various existing algorithms an attempt to implement Bug algorithm and Virtual goal algorithm and the comparative study on the same was done. Numbers of experiments were conducted to draw the inference that, which algorithm is better. To conduct the experiments the algorithms were run in NXPLPC 1768 microcontroller. For detecting the Obstacles the system was equipped with a ring of eight sonar. For simulation MATLAB was used. The conclusion that, virtual goal method is better than the bug algorithm is drawn finally through number of experiments and observations.