Multi Robot Aerial System

Multi-robot aerial systems (MRAS) research focuses on coordinating multiple unmanned aerial vehicles (UAVs) to perform complex tasks more efficiently than single UAVs. Current research emphasizes developing robust control algorithms, such as those based on deep reinforcement learning, particle swarm optimization, and signal temporal logic, to manage the complexities of swarm coordination, task allocation, and trajectory planning while considering constraints like energy consumption and payload capacity. This field is significant due to its potential for improving efficiency and safety in various applications, including infrastructure inspection, disaster response, and environmental monitoring, by enabling more sophisticated and adaptable autonomous operations. Modular hardware designs and open-source software frameworks are also actively being developed to facilitate wider adoption and collaboration within the research community.