Sensor fusion is a research area within the field of robotics and artificial intelligence that involves combining data from multiple sensors to create a more accurate and comprehensive understanding of a given environment or situation. By integrating data from different sensors, such as cameras, lidar, radar, and GPS, sensor fusion algorithms can improve the reliability and accuracy of perception, localization, mapping, and object recognition in various applications, such as autonomous vehicles, drones, and smart sensors. The goal of sensor fusion is to provide a more complete and robust representation of the world, enabling intelligent systems to make better decisions and operate more effectively in complex, dynamic environments.