Example Concept: Sensor fusion combines data from various sensors to improve obstacle detection by using algorithms like Kalman filters, particle filters, or deep learning models. For instance, LIDAR provides precise distance measurements, cameras offer rich visual information, and ultrasonic sensors detect nearby objects. By merging these data streams, the robot can achieve higher accuracy in detecting and localizing obstacles, even in complex or dynamic environments.