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Cooperative obstacle avoidance using bidirectional artificial potential fields

机译:使用双向人工潜在领域的合作障碍避免

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This paper presents a novel technique for obstacle avoidance and target location using autonomous underwater vehicles. The proposed method uses the concept of bidirectional artificial potential fields in order to cooperatively avoid obstacles whilst travelling to a desired location. A fluid-like formation is presented whereby the vehicles are assigned a separation distance, which they adhere to when not in the process of obstacle avoidance. This distance is free of angular constraints, which allows a more flexible formation than traditional approaches. Although cooperative in nature, the proposed strategy allows all the vehicles to be independently guided by the overall potential field. This technique is useful even when other vehicles fail. Both clockwise and anticlockwise fields are simultaneously created around obstacles, and used by the vehicles to ensure cooperative avoidance around the obstacles. The proposed technique could be used for a number of applications such as mapping/exploration/surface inspection to name a few. Simulation results have been conducted for various scenarios and show the method to be effective.
机译:本文介绍了使用自主水下车辆的障碍避免和目标位置的新技术。该方法使用双向人工势域的概念,以便协同避免障碍物,同时行进到所需的位置。呈现了一种流体状形成,其中车辆被分配了分离距离,它们粘附到不在避障的过程中。该距离是没有角度约束的,这允许比传统方法更柔韧。虽然合作本质上,所提出的策略允许所有车辆独立引导由整体潜在领域。即使其他车辆发生故障,这种技术也很有用。顺时针和逆时针方面围绕障碍物,并由车辆使用,以确保围绕障碍物的合作避免。所提出的技术可用于许多应用程序,例如映射/探索/表面检查,以命名几个。已经针对各种场景进行了仿真结果,并显示了有效的方法。

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