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Stable AGV corridor navigation based on data and control signal fusion

机译:基于数据和控制信号融合的稳定AGV走廊导航

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摘要

This work presents a control strategy for mobile robots navigating in corridors, using the fusion of the control signals from two redundant or homogeneous controllers: one based on optical flow calculation and the other based on the estimates of position of the robot with respect to the centerline of the corridor, which is estimated using data from ultrasonic and vision sensors. Both controllers generate angular velocity commands to keep the robot navigating along the corridor, compensating for the dynamics of the robot. The fusion of both control signals is done through a Decentralized Information Filter. The stability of the resulting control system is analyzed. Experiments on a laboratory robot are presented to show the feasibility and performance of the proposed control system.
机译:这项工作提出了一种移动机器人在走廊中导航的控制策略,该策略使用了来自两个冗余或同类控制器的控制信号的融合:一个基于光流计算,另一个基于机器人相对于中心线的位置估计使用超声波和视觉传感器的数据估算走廊的距离。两个控制器均生成角速度命令,以保持机器人沿走廊导航,从而补偿了机器人的动力。两个控制信号的融合是通过分散信息滤波器完成的。分析所得控制系统的稳定性。提出了在实验室机器人上进行的实验,以证明所提出的控制系统的可行性和性能。

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