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Calibration of wheeled mobile robots with differential drive mechanisms: an experimental approach

机译:带有差动驱动机构的轮式移动机器人的标定:一种实验方法

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Exact knowledge of the position and proper calibration of robots that move by wheels form an important foundation in mobile robot applications. In this context, a variety of sensory systems and techniques have been developed for accurate positioning of differential drive mobile robots. This paper, first, provides a brief overview of mobile robots positioning techniques and then, presents a new benchmark method capable of calibrating mobile robots with differential drive mechanisms to correct systematic errors. The proposed method is compared with the commonly used University of Michigan Benchmark (UMBmark) odometry method. Two sets of comparisons are conducted on six prototyped robots with differential drives. The first set of tests establishes the workability and accuracy that can be achieved with the new method and compares them with the ones obtained from the UMBmark technique. The second experiment compares the performance of a mobile robot, calibrated with either the UMBmark or the new method, for an unseen path. It is demonstrated that the proposed method of calibration is simple to implement, and leads to accuracy comparable to the UMBmark method. Specifically, while the error corrections in both methods are within ± 5% of each other, the proposed method requires single straight line motion for calibration, which is believed to be simpler and less timely to implement than the square path motion required by the UMBmark technique. The method should therefore be considered seriously as a new tool when calibrating differential drive mobile robots.
机译:精确的位置信息和通过轮子移动的机器人的正确校准是移动机器人应用中的重要基础。在这种情况下,已经开发出各种传感系统和技术来精确定位差动驱动移动机器人。本文首先简要概述了移动机器人的定位技术,然后提出了一种新的基准测试方法,该方法能够使用差动驱动机制对移动机器人进行校准,以纠正系统错误。将该方法与常用的密歇根大学基准测试法(UMBmark)进行了比较。在六个带有差动驱动器的原型机器人上进行了两组比较。第一组测试确定了新方法可以实现的可操作性和准确性,并将它们与从UMBmark技术获得的结果进行了比较。第二个实验比较了用UMBmark或新方法校准的移动机器人在一条看不见的道路上的性能。事实证明,所提出的校准方法易于实施,并且其精度可与UMBmark方法相比。具体来说,尽管两种方法的误差校正都在±5%之内,但所提出的方法只需要一条直线运动即可进行校准,与UMBmark技术所要求的平方轨迹运动相比,这种方法被认为更简单,更不及时地实施。 。因此,在校准差动驱动移动机器人时,应认真考虑将该方法作为一种新工具。

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