The SLAM algorithm shortened term for simultaneous localization and mapping. It is an important technology used to map the surroundings of a device or a robot while simultaneously determining its own position.

SLAM technology is not an easy task because knowing the location is required to map the environment. However, existing maps are needed for location information.

How Does the SLAM Algorithm Work?

The SLAM algorithm creates an existing map of the environment using GPS data. As the device moves, the map of its surroundings develops. The moving device continuously makes measurements. Mathematics and measurement are important topics for the SLAM Algorithm. Because the measurement method and the movement of the device may cause inaccuracies.

Space Technology with the SLAM Algorithm

The SLAM algorithm is gaining increasing importance. Technology is now a ubiquitous and dynamic presence in homes, workplaces, offices, and every aspect of life. This concept is now providing convenience and comfort to people in nearly every area of life.

As technology is used in daily activities, its popularity is sure to grow. The SLAM algorithm is becoming increasingly important due to these trends.

The Working Purpose of the SLAM Algorithm

The SLAM algorithm aims to perform mapping and positioning in real-time in an environment where a robot or device is unfamiliar. The SLAM algorithm is developed in the context of the work of autonomous robot systems.

The conditions that need to be met for autonomous robots to fulfill their tasks are as follows:

Obtaining absolute location information for their current position

Continuously updating the map of the environment with measurements

Planning and following a path to move from one point to another

Autonomous robots or devices need to achieve these stages.

The Difference Between the SLAM Algorithm and GPS

SLAM, which determines the location and movement of a robot, has a function similar to GPS. However, there are important differences that set them apart. GPS is accurate on a global scale but may not provide the same level of precision in a room or a small intersection.

Additionally, GPS does not work well underwater, and its accuracy can be compromised in thick-walled buildings or basements. In contrast, the SLAM algorithm aims to achieve precise and high-accuracy positioning for the management of advanced machines, devices, and robots.