Path Planning for Robotics in Two-Dimensional Planes

This project presents a MATLAB implementation for robot path planning in two-dimensional environments. The system enables robots to determine optimal navigation paths while accounting for environmental constraints and obstacles. The implementation utilizes a grid-based methodology to discretize the environment, where each grid cell represents either free space or occupied territory containing obstacles. This spatial discretization approach allows the robot to efficiently process and interpret its surroundings through matrix operations. Key implementation aspects include: - Environment mapping through grid matrix initialization - Obstacle representation using binary occupancy grids - Path planning algorithms such as A* or Dijkstra's algorithm for optimal route calculation - Visualization functions for displaying the grid map and planned trajectory Following path computation, MATLAB's simulation toolkit enables comprehensive testing and validation. The simulation environment incorporates kinematic models and collision detection mechanisms to verify the robot's operational performance in practical scenarios. This integrated approach ensures robust navigation capabilities while maintaining computational efficiency through MATLAB's optimized matrix operations.