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This paper presents Unmanned Aerial Vehicle (UAV) path planning using a Genetic Algorithm (GA) in a static environment at constant altitude. A cubic Bezier curve is used as path reference. The GA will find the proper control points position such that the minimum-length feasible path will be achieved. The objective optimization is the minimum path length(More)
This paper proposes an idea to approximate few robot manipulator inverse kinematics data by n<sup>th</sup> degree polynomials function using a Genetic Algorithm (GA). This paper will find a joint angle path from inverse kinematics data in the form of n<sup>th</sup> degree polynomials parametric function. The GA is used as an approximation method. It will(More)
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