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Stable AGV corridor navigation with fused vision-based control signals

机译:稳定的AGV走廊导航与基于融合视觉的控制信号

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This work presents a control strategy for mobile robots navigating in corridors, using the fusion of the control signals from vision based controllers. To this aim two controllers are proposed to generate the control signals to be fused: one is based on the optical flow calculation and the other is based on the perspective lines in the corridor. Both controllers generate angular velocity commands to keep the robot navigating along the corridor, and compensate for the dynamics of the robot. The fusion of both control signals is made by using a Kalman filter. Stability of the resulting control system in analyzed. Experiments on a laboratory robot are presented to show the feasibility and performance of the proposed controller.
机译:这项工作提供了一种控制策略,用于在走廊中导航的移动机器人,使用来自基于视觉的控制器的控制信号的融合。为此目的,建议两个控制器产生要融合的控制信号:一个基于光流量计算,另一个基于走廊中的透视线。两个控制器都产生角速度命令,以保持沿着走廊导航的机器人,并补偿机器人的动态。通过使用卡尔曼滤波器进行两个控制信号的融合。分析所得控制系统的稳定性。提出了在实验室机器人的实验,以显示所提出的控制器的可行性和性能。

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