Example Concept: Sensor fusion in robotics often employs algorithms like the Extended Kalman Filter (EKF) or Particle Filter to integrate data from various sensors. For instance, an EKF can combine GPS data for global positioning with IMU data for orientation and velocity, smoothing out noise and providing a continuous estimate of the robot's state. This fusion process allows the robot to maintain accurate localization even when individual sensors experience temporary failures or inaccuracies.