Example Concept: Sensor fusion in robotics typically involves using algorithms like the Kalman Filter or Extended Kalman Filter (EKF) to combine data from various sensors. For instance, an EKF can integrate IMU data providing high-frequency motion updates with GPS data offering accurate but less frequent position updates, resulting in a more robust and continuous localization solution. This fusion process helps reduce noise and uncertainty, improving the robot's ability to navigate and operate in dynamic environments.