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An efficient approach to pose tracking based on odometric error modelling for mobile robots

机译:一种基于里程误差建模的移动机器人姿态跟踪的有效方法

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Odometric error modelling for mobile robots is the basis of pose tracking. Without bounds the odometric accumulative error decreases localisation precision after long-range movement, which is often not capable of being compensated for in real time. Therefore, an efficient approach to odometric error modelling is proposed in regard to different drive type mobile robots. This method presents a hypothesis that the motion path approximates a circular arc. The approximate functional expressions between the control input of odometry and non-systematic error as well as systematic error derived from odometric error propagation law. Further an efficient algorithm of pose tracking is proposed for mobile robots, which is able to compensate for the non-systematic and systematic error in real time. These experiments denote that the odometric error modelling reduces the accumulative error of odometry efficiently and improves the specific localisation process significantly during autonomous navigation.
机译:用于移动机器人的里程表误差建模是姿势跟踪的基础。无限制的里程累积误差会降低远距离运动后的定位精度,这通常无法实时进行补偿。因此,针对不同的驱动类型的移动机器人,提出了一种有效的里程误差建模方法。该方法提出了运动路径近似为圆弧的假设。里程表的控制输入与非系统误差以及从里程表误差传播定律得出的系统误差之间的近似函数表达式。提出了一种有效的移动机器人姿态跟踪算法,该算法能够实时补偿非系统性和系统性误差。这些实验表明,里程误差建模有效地减少了里程误差的累积误差,并在自主导航期间显着改善了特定的定位过程。

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