Example Concept: Precise robot localization often relies on a combination of sensors such as LiDAR, cameras, IMUs, and GPS. LiDAR provides high-resolution distance measurements, cameras offer visual cues for feature recognition, IMUs supply orientation and acceleration data, and GPS can provide global positioning outdoors. The integration of these sensors through sensor fusion techniques, such as Kalman filtering, enhances localization accuracy by compensating for the limitations of individual sensors.