In Taiwan, they are creating an artificial intelligence-based system that should coordinate different types of UAVs for long-term surveillance of large sea areas. The project is funded by the council and developed by a team from National Chenggong University. The system combines vertical take-off and landing drones, flight control technologies and swarm coordination algorithms. To coordinate the operation of several devices, the researchers used multi-agent learning - a method in which system participants learn to solve problems jointly. According to the council, this allows the UAVs to independently assign tasks, plan routes and coordinate operations in flight. Master-slave control complements dynamic obstacle avoidance. As explained in the department, these mechanisms should allow the group to change the route according to the mission and react to obstacles or unexpected changes in the environment. The team completed a simulation of two groups flying simultaneously - a total of 20 drones. The council names actual flight tests over open water as the next step, along with prototype tests and tests where real equipment works in conjunction with a computer model. At these stages, the developers will have to test the reliability of the system in different marine conditions.

In Taiwan, they are creating an artificial intelligence-based system that should coordinate different types of UAVs for long-term surveillance of large sea areas. The project is funded by the council and developed by a team from National Chenggong University. The system combines vertical take-off and landing drones, flight control technologies and swarm coordination algorithms. To coordinate the operation of several devices, the researchers used multi-agent learning - a method in which system participants learn to solve problems jointly. According to the council, this allows the UAVs to independently assign tasks, plan routes and coordinate operations in flight. Master-slave control complements dynamic obstacle avoidance. As explained in the department, these mechanisms should allow the group to change the route according to the mission and react to obstacles or unexpected changes in the environment. The team completed a simulation of two groups flying simultaneously - a total of 20 drones. The council names actual flight tests over open water as the next step, along with prototype tests and tests where real equipment works in conjunction with a computer model. At these stages, the developers will have to test the reliability of the system in different marine conditions.