Introduction to Genetic Algorithms
Introduction to Genetic Algorithms
On the Generation of Trajectories for Multiple UAVs in Environments with Obstacles
Journal of Intelligent and Robotic Systems
An Efficient Path Planning and Control Algorithm for RUAV's in Unknown and Cluttered Environments
Journal of Intelligent and Robotic Systems
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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 with constrains. There are two constraints that must be satisfied, a free collision and a minimum turning radius. The Fuzzy rules are applied in fitness function to satisfy these constraints. It needs to detect the collision after the curvature is satisfied. The results show that the proposed algorithm succeeded to find the goal path.