Investigation of UAV Obstacle Avoidance Algorithms in a Simulated Complex Environment

Unmanned aerial vehicles (UAVs), like small aerial mobile robots, take on a variety of tasks in industrial production and in human life. Route planning is an important part of the UAV's automatic navigation and an important step in route planning is obstacle avoidance. Faced with a complex environment of obstacles in different situations, how the UAV can quickly find a smooth and optimal path is a pressing problem in the field of UAV route planning. This paper discusses the A*, RRT, and Fuzzy Logic algorithms for UAV obstacle avoidance and compares their advantages and disadvantages for obstacle avoidance in different environments, and then conducts MATLAB simulation comparative experiments for A* algorithm, RRT algorithm, and Fuzzy Logic algorithm. The experimental simulations are rigorous and reliable, laying the foundation for further integration of multiple algorithms and optimization of existing path planning algorithms.