This project focuses on enabling a mobile robot to navigate and localize itself within an environment using MATLAB. It combines path planning algorithms with sensor-based localization techniques to simulate autonomous movement.
- Path Planning – Implement algorithms like A*, Dijkstra, and potential fields for obstacle avoidance and optimal routing.
- Localization – Use sensor fusion techniques and Kalman Filtering to estimate the robot’s position.
- Simulation – Visualize the robot’s real-time movement and map updates in a MATLAB environment.
This project demonstrates the core principles of autonomous robotics using practical simulations and mathematical modeling.