Example Concept: Sensor fusion in robotics typically involves the use of algorithms such as the Kalman Filter or Particle Filter to integrate data from various sensors. For instance, an IMU provides high-frequency orientation data, while a GPS offers absolute position information. By fusing these inputs, a robot can achieve more accurate and stable localization, even in environments where individual sensor data might be unreliable or noisy.