Swarm Game and Task Allocation for Autonomous Underwater Robots

Abstract

Although underwater robot swarms have demonstrated increasing application prospects, organizing and optimizing the swarm’s scheduling for uncertain tasks are challenging. Thus, we designed robot games and task allocation experiments, where the robots have different cooperative attributes, as some are more selfish and others more altruistic. Specifically, we designed two experiments: target search and target moving, aiming to reveal the relationship between individual cooperation and group task achievement in a robot swarm as a collaborative strategy. The task information is shared among the robots, because performing the tasks consumes a certain amount of energy, reducing the robot’s running speed. Our experiments prove that the robot swarms can evolve and enhance their strategies during the game, and will guide guiding future works in designing more efficient robot swarms.