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Cooperative obstacle avoidance using bidirectional artificial potential fields

机译:使用双向人工势场避免合作障碍

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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:本文提出了一种使用水下机器人自动避障和目标定位的新技术。所提出的方法使用双向人工势场的概念,以便在行进到所需位置时协同地避开障碍物。提出了一种类似流体的构造,由此为车辆分配了一个分隔距离,当它们不在避开障碍物的过程中会遵守该分隔距离。该距离没有角度限制,因此与传统方法相比,可以形成更灵活的形式。尽管本质上是合作的,但所提出的策略允许所有车辆在整个潜在领域中得到独立的指导。即使其他车辆出现故障,该技术也很有用。同时在障碍物周围创建顺时针和逆时针方向的磁场,并由车辆使用以确保在障碍物周围的协同避让。所提出的技术可以用于许多应用,例如制图/探索/表面检查等。针对各种情况进行了仿真结果,结果表明该方法是有效的。

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