Unmanned aerial vehicles, can offer solutions to a lot of problems, making it crucial to
research more and improve the task allocation methods used. In this survey, the main …

UAV swarm applications are critical for the future, and their mission-planning and decision-
making capabilities have a direct impact on their performance. However, creating a dynamic …

This paper proposes a novel multi-objective ant colony system (MOACS) approach to solve
the cooperative task allocation problem of multi-robot systems. The task allocation problem …

Unmanned underwater vehicle (UUV) is commonly utilized for ocean resource exploration.
To effectively plan long-term tasks, it is crucial to consider energy usage and task quality …

An unmanned swarm system (UWS) is a multiagent system that can fulfill task requirements
through autonomous and cooperative behavior strategy learning. However, learning …

As a typical problem in the research of underwater multi-agent cooperative technology, multi-
AUV cooperative hunting is widely used in the military and other fields. In this paper, a …

As the missions and environments of unmanned aerial vehicles (UAVs) become
increasingly complex in both space and time, it is essential to investigate the dynamic task …

Multi-unmanned systems are primarily composed of unmanned vehicles, drones, and multi-
legged robots, among other unmanned robotic devices. By integrating and coordinating the …

The rising quantity of space debris in outer space has endangered the operation of satellites
and occupied many available orbital resources. In this context, the most pressing task is to …

With the rapid advancement of UAV technology and the increasing complexity of tasks, multi-
UAV systems face growing challenges in task execution. Traditional task allocation …