Developing a Navigation, Guidance and Obstacle Avoidance Algorithm for an USV by Algorithms Leapfrog

data mining

Path planning is a very important in our daily life because of several reasons reducing the path distance and energy consumption so here we choose this path optimization process. Several sectors robotics take the place of human and gave better performance. Nowadays widely uses of robotics like robotic car, robotic serviceman etc. In the process of robot movement, it has chance of collision with obstacles. So, need to configure their size and avoid it. Robots can be used to minimize the labour work and get the more accurate work. Last decade we are used frequently robot in several purpose or application in different sectors. Here, robot path navigation has become one of the highest demanding research fields. This research used plant grow optimization algorithm for the selection of path in obstacle environments. The plant grow optimization algorithm is multi-objective optimization technique with multiple constraints such as growing of leaf and competition of branch. The plant grow optimization enriched the search space for the selection of path in free environments.

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