Example Concept: Implement a Model Predictive Control (MPC) approach for path tracking, which optimizes the control inputs by predicting future states of the robot over a finite time horizon. MPC can handle constraints and adapt to dynamic changes in the environment, improving path accuracy and responsiveness. Integrate this with real-time sensor data for obstacle detection and avoidance, ensuring the robot can adjust its path dynamically.