Azman Zainuddin

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This paper addresses a point-to-point of an arm robot motion planning in complex geometrical obstacle. It will govern a two-layer optimization strategy utilizing sixth degree polynomial as joint angle path. At the beginning of the motion planning process, the path planning starts with the optimization objective to minimize the joint angle travelling(More)
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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