Path Planning of Robot Tracking Using Hybrid of a Star and Genetic Algorithm

– The goal of path design is to find the shortest and most efficient obstacle-free route from a starting point to a destination state. A map of the surroundings, as well as the start and target states, are needed for path planning. Path planning applications are such as Automated robot navigation, autonomous vehicle Robotic surgery, digital animation of characters, and others. Different algorithms provide different solutions to this problem, to find the best path in terms of distance and smoothness (minim number of rotations); the smoothness means decreasing power consumption since the rotations take a lot of power to be executed. A traditional genetic algorithm is used to find the best path, and then modification is used to improve the path’s characteristics. The experimental results obtained using MATLAB Simulator indicate that the enhanced approach applied in the genetic algorithm provides much better outcomes, the path edges are minimized along with the path length.