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Set-Based State Estimation of Mobile Robots from Coarse Range Measurements

机译:基于粗距测量的移动机器人基于集合的状态估计

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This paper proposes a localization algorithm for an autonomous mobile robot equipped with binary proximity sensors that only indicate when the robot is within a fixed distance from beacons installed at known positions. Our algorithm leverages an ellipsoidal Set Membership State Estimator (SMSE) that maintains an ellipsoidal bound of the position and velocity states of the robot. The estimate incorporates knowledge of the robot's dynamics, bounds on environmental disturbances, and the binary sensor readings. The localization algorithm is motivated by an underwater scenario where accurate range or bearing measurements are often missing. We demonstrate our approach on an experimental platform using an autonomous blimp.
机译:本文提出了一种针对自主移动机器人的定位算法,该机器人配备了二进制接近传感器,该传感器仅指示机器人何时与安装在已知位置的信标处于固定距离内。我们的算法利用椭圆集成员状态估计器(SMSE)来维护机器人的位置和速度状态的椭圆边界。该估算值包含了有关机器人动力学,环境干扰范围以及二进制传感器读数的知识。定位算法是由水下场景激发的,在水下场景中通常缺少精确的距离或方位测量值。我们在使用自主飞艇的实验平台上展示了​​我们的方法。

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