SLAM (Simultaneous Localization and Mapping) refers to the robot in the unknown environment through the sensor to detect the environment, and combined with its own movement to gradually build a map of the environment, and in this process to determine its own posture information, that is, positioning and map construction at the same time, is a more complex coupling problem. With the development of artificial intelligence and computer technology, there are a rich variety of solutions to the problem of simultaneous positioning and mapping of mobile robots. Firstly, the basic classification and principle of the existing SLAM scheme are introduced, and the laser SLAM is used as an example to detail the basic working framework of the system. Then, the mainstream laser and visual SLAM algorithms are described, and the current application and future development trend of SLAM are analyzed.
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Research and exploration of SLAM solutions based on mobile robots
Semantic Scholar · Computer Science · 2023
Abstract
SLAM (Simultaneous Localization and Mapping) refers to the robot in the unknown environment through the sensor to detect the environment, and combined with its own movement to gradually build a map of the environment, and in this process to determine its own posture information, that is, positioning and map construction at the same time, is a more complex coupling problem. With the development of artificial intelligence and computer technology, there are a rich variety of solutions to the problem of simultaneous positioning and mapping of mobile robots. Firstly, the basic classification and principle of the existing SLAM scheme are introduced, and the laser SLAM is used as an example to detail the basic working framework of the system. Then, the mainstream laser and visual SLAM algorithms are described, and the current application and future development trend of SLAM are analyzed.