Collaborative Simultaneous Localization

Collaborative Simultaneous Localization and Mapping (C-SLAM) aims to enable multiple robots to cooperatively build a map of their environment while simultaneously determining their own locations, even without GPS. Current research emphasizes efficient distributed algorithms, often employing graph optimization techniques (like pose-graph optimization and factor graphs) or neural network approaches for robust and scalable solutions, focusing on minimizing communication overhead and computational cost. These advancements are crucial for improving the autonomy and reliability of multi-robot systems in various applications, including autonomous driving, exploration, and search and rescue.