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Measurement and correction of systematic odometry errors in mobile robots

机译:移动机器人中测距系统误差的测量和校正

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Odometry is the most widely used method for determining the momentary position of a mobile robot. This paper introduces practical methods for measuring and reducing odometry errors that are caused by the two dominant error sources in differential-drive mobile robots: 1) uncertainty about the effective wheelbase; and 2) unequal wheel diameters. These errors stay almost constant over prolonged periods of time. Performing an occasional calibration as proposed here will increase the odometric accuracy of the robot and reduce operation cost because an accurate mobile robot requires fewer absolute positioning updates. Many manufacturers or end-users calibrate their robots, usually in a time-consuming and nonsystematic trial and error approach. By contrast, the method described in this paper is systematic, provides near-optimal results, and it can be performed easily and without complicated equipment. Experimental results are presented that show a consistent improvement of at least one order of magnitude in odometric accuracy (with respect to systematic errors) for a mobile robot calibrated with our method.
机译:里程表是确定移动机器人瞬时位置的最广泛使用的方法。本文介绍了测量和减少由差动驱动移动机器人的两个主要误差源引起的里程误差的实用方法:1)关于有效轴距的不确定性; 2)车轮直径不相等。这些错误在长时间内几乎保持恒定。如此处建议的执行偶尔的校准将提高机器人的里程精度,并降低操作成本,因为精确的移动机器人需要较少的绝对位置更新。许多制造商或最终用户通常使用费时且非系统性的反复试验方法来校准其机器人。相比之下,本文描述的方法是系统性的,提供了接近最佳的结果,并且可以轻松执行且无需复杂的设备。实验结果表明,用我们的方法校准的移动机器人的测距精度(相对于系统误差)至少稳定了一个数量级。

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