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Sensor observation area compensating path planning for avoiding collisions with unknown obstacles

机译:传感器观察区补偿路径规划,避免与未知障碍物碰撞

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In this paper, we propose a path-planning algorithm for mobile robots having sensors with a limited field of view. The proposed method predicts the observable region in the planning phase and minimizes incursions into unobservable regions. The path-planning process of the proposed method not only involves the actions required for reaching a destination but also the actions required for obtaining information about obstacles on the path depending on the sensor's viewing angle. Using the proposed method, robots can detect obstacles before collision. In this paper, the effectiveness of the method is confirmed by simulated and real-world experiments.
机译:在本文中,我们提出了一种具有受限视场传感器的移动机器人的路径规划算法。所提出的方法可以在计划阶段预测可观察区域,并最大程度地减少对不可观察区域的入侵。所提出的方法的路径规划过程不仅涉及到达目的地所需的动作,而且还涉及取决于传感器的视角而获得关于路径上的障碍物的信息的所需动作。使用所提出的方法,机器人可以在碰撞之前检测到障碍物。在本文中,该方法的有效性通过模拟和实际实验得到了证实。

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