Abstract
Nowadays, the simultaneous localization and mapping (SLAM) approach has become one of the most advanced engineering methods used for mobile robots to build maps in unknown or inaccessible spaces. Update maps before a certain area while tracking current location and distance. The motivation behind writing this paper is mainly to help us better understand about SLAM and the study situation of SLAM in the world today. Through this, we find the optimal algorithm for moving robots in three dimensions.
Highlights
Along with the development of science and technology, in robotic mapping and navigation has been studied and more interested by scientists
Thanks to the simultaneous localization and mapping (SLAM) technology, positioning approach commonly used indoors or underground where satellite navigation (GPS) is not viable because the enclosed space and the distance are too small under 6 meters
Research on SLAM has been started in the robotics community since 1986 in the papers of Smith and Cheeseman, sually with wheeled robots traversing a flat ground plane
Summary
Along with the development of science and technology, in robotic mapping and navigation has been studied and more interested by scientists. Thanks to the simultaneous localization and mapping (SLAM) technology, positioning approach commonly used indoors or underground where satellite navigation (GPS) is not viable because the enclosed space and the distance are too small under 6 meters. Research on SLAM has been started in the robotics community since 1986 in the papers of Smith and Cheeseman, sually with wheeled robots traversing a flat ground plane This was done by combining sensor readings (such as from a laser scanner) information about the control input (eg, steering angle) and the measured robot state SLAM algorithms utilise information from sensors (often Lidar or imagery) to compute a best estimate of the device’s location and a map of the environment around it. Published approaches are employed in self-driving cars, unmanned aerial vehicles, autonomous underwater vehicles, planetary rovers, newly emerging domestic robots and even inside the human body [3]
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