Swarm Game and Task Allocation for Autonomous Underwater Robots

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