Simulation of Robot Path Planning Algorithm (VFH Algorithm) in MATLAB

This project presents a simulation of the Vector Field Histogram (VFH) path planning algorithm for robots implemented in MATLAB. The VFH algorithm is a fast, laser-based navigation method that utilizes laser scanner data to detect obstacles in the robot's immediate environment and calculates the optimal direction for movement. In the simulation environment, we can model robot motion and evaluate the effectiveness of the VFH algorithm through various test scenarios. The implementation typically involves creating a polar histogram from sensor data, identifying obstacle densities, and selecting candidate directions based on threshold values. By adjusting algorithm parameters such as the obstacle density threshold, smoothing factors, and robot starting positions, we can compare algorithm performance under different conditions. This allows for comprehensive analysis of the VFH algorithm's strengths and limitations, providing insights into how to optimize it for various real-world applications. Key MATLAB functions used in the simulation may include data preprocessing, histogram generation, direction vector calculations, and collision avoidance logic.