Swarm Navigation

Swarm navigation research focuses on enabling groups of robots to collaboratively navigate complex environments without centralized control. Current efforts explore diverse approaches, including deep learning integrated with physics-based models, efficient data processing techniques like FFT filtering for real-time environmental mapping and decision-making, and the development of hierarchical swarm architectures for improved scalability and performance in challenging scenarios. These advancements are significant for applications ranging from environmental monitoring and search-and-rescue to autonomous vehicle coordination and offer valuable insights into the collective behavior of both biological and engineered systems.