This technology is a SLAM system that generates an initial SLAM map frame for a robot by receiving environmental photos and information from a user terminal, and subsequently expands and modifies the map by integrating sensor data collected as the mobile robot navigates.
Conventional SLAM requires the robot to explore the entire environment to create a map, which is time-consuming and inefficient, as it necessitates repeating the entire mapping process whenever a portion of an existing map needs to be modified or expanded.
This technology proposes a method that uses environmental photos captured from a user terminal to set landmarks and create a basic map framework in advance. When a command to modify or expand the map is issued, it performs local modifications based on photos of specific areas or moves to the location to integrate real-time data. This reduces mapping time and enables efficient map management. Applicable to home service robots and indoor delivery robots, it significantly reduces initial setup time and enhances user convenience by securing the basic map framework using only photos provided by the user.
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