Multi Robot Active Mapping

Multi-robot active mapping focuses on efficiently exploring and mapping unknown environments using teams of robots, aiming for complete map coverage in minimal time. Current research emphasizes decentralized approaches, employing techniques like Riemannian optimization and graph neural networks to coordinate robots and optimize exploration strategies based on factors such as map uncertainty and path entropy. These advancements improve the efficiency and robustness of autonomous exploration, with applications in search and rescue, environmental monitoring, and other scenarios requiring rapid and comprehensive mapping of complex spaces. The development of robust and scalable algorithms is crucial for advancing autonomous robotics capabilities.