Simultaneous Localization and Mapping in Robot Networks

Simultaneous Localization and Mapping (SLAM) in robot networks involves multiple robots working together to explore an environment. Each robot builds a map of the surroundings while simultaneously figuring out its own position within that map. By sharing data, they improve accuracy and efficiency, covering more ground faster. This process allows robots to navigate unfamiliar spaces, avoid obstacles, and collaboratively create a detailed map—all without prior knowledge of the environment. SLAM is essential for applications like search and rescue, warehouse automation, and autonomous exploration, where understanding and moving through complex environments safely is critical.