Example Concept: Sensor fusion in robotics often employs algorithms like the Extended Kalman Filter (EKF) or Particle Filter to combine data from various sensors. These algorithms process inputs from sources such as GPS, IMUs, LiDAR, and cameras to produce a cohesive estimate of the robot's state. By fusing data, the system can correct for drift, reduce noise, and handle occlusions, leading to more precise and reliable localization.