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Increasing Perception Space of a Ground Standing Robot via Data Transmission from an Aerial Robot

机译:通过空中机器人的数据传输增加站立式机器人的感知空间

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In this paper, an approach to increase perception space of a ground standing robot via data transmission from an aerial robot is presented. Since the collected point cloud data from two robots have different coordinates, a rigid registration based approach is applied to align the coordinate of the aerial robot’s perception space to the ground robot’s one. First, the static markers which are attached to the base position of the ground robot are used to compute the transformation. However, they did not work properly when the markers are accidentally invisible due to its kinematic limits. To solve the issue, the dynamic markers which are attached to both fixed (base) and movable links of the ground robot are also studied. To account for kinematic changes of dynamic markers, forward kinematics of the ground robot’s limb is iteratively updated and applied to the rigid transformation computation. The both approaches were tested and evaluated through experiments with a full-sized armed robot and a drone in a mock-up of task field.
机译:在本文中,提出了一种通过从空中机器人传输数据来增加地面机器人的感知空间的方法。由于从两个机器人收集的点云数据具有不同的坐标,因此采用了基于刚性配准的方法来将空中机器人的感知空间的坐标与地面机器人的感知空间对齐。首先,使用附着在地面机器人基本位置上的静态标记来计算转换。但是,当标记由于其运动学限制而意外不可见时,它们将无法正常工作。为了解决这个问题,还研究了附着在地面机器人的固定(基座)和活动连杆上的动态标记。为了解决动态标记的运动学变化,地面机器人肢体的正向运动学会进行迭代更新,并应用于刚性变换计算。两种方法均通过在任务场模型中使用大型武装机器人和无人驾驶飞机的实验进行了测试和评估。

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