| This article presents a methodology for the generation of optimized trajectories for Automated Guided Vehicles (AGV) and its implementation. The proposed methodology includes the use of several software tools, such as AutoCAD for defining the occupancy map, MATLAB for mathematical calculations and generating the optimal trajectory, and Unity for visualization. The working process begins with defining the occupancy map using CAD software, selecting waypoints, and generating the optimal trajectory using a genetic algorithm based on the Frenet equations with an optimization parameter. Finally, the generated trajectory is visualized in Unity. The methodology ensures the optimization of the trajectory design process and provides a correct visualization of the results. The proposed approach can be useful in the implementation of AGVs in different fields, such as logistics and manufacturing. |
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