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Heading Calibration in Robot Soccer ERSOW using Line Landmark on The Field

机译:使用场地上的地标标定机器人足球ERSOW中的航向标定

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This paper will present the heading calibration which is used on the Ersow’s robot using line sensors. The robot must have the capabilities of avoiding obstacles, kicks the ball, and localization. All of those abilities are dependent on the robot heading data in the form of an angular degree unit. The drawback of the heading data is getting worse when the sensor is activated in a long period. This happens because IMU sensor is drifting along the time that causes a shifting orientation perception. This condition will create an enormous error in the robot system. The proposed way to solve this problem is calibrating the IMU data each necessary. The robot is placed in the field by looking for unique features. In this case, is the horizontal lines. We are using a microcontroller-based line sensor with an independent embedded microcontroller. The purposes of using the line sensors are the fast computation and the cheapest hardware to be built. The line sensor is expected to produce deviation data that is eligible to send towards Artificial Intelligent processed. Based on the result of the experiment average error by drifting robot heading -1.67 degree in every minute. The average error value with robot speed at 10 cm/s is 2.1 degree, at 50 cm/s is 1 degree, at 100 cm/s is 0.7 degree, and at 150 cm/s is 1.2 degree. The accuracy of this calibration method obtained as 99.65%. This improvement will make the robot increasing the accuracy of position estimation in the field.
机译:本文将介绍使用行传感器在Ersow机器人上使用的航向校准。机器人必须具有避开障碍物,踢球和定位的能力。所有这些能力都取决于角度单位形式的机器人航向数据。长时间激活传感器后,航向数据的缺点变得越来越严重。发生这种情况是因为IMU传感器随时间漂移,从而导致方向感发生偏移。这种情况将在机器人系统中造成巨大的错误。解决此问题的建议方法是校准每个必要的IMU数据。通过寻找独特功能将机器人放置在野外。在这种情况下,是水平线。我们正在使用具有独立嵌入式微控制器的基于微控制器的线传感器。使用线传感器的目的是快速计算和构建最便宜的硬件。线传感器有望产生可发送给人工智能处理的偏差数据。根据实验结果,每分钟漂移机器人航向为-1.67度,从而产生平均误差。机器人速度为10 cm / s时的平均误差值为2.1度,在50 cm / s时为1度,在100 cm / s时为0.7度,在150 cm / s时为1.2度。获得的该校准方法的准确性为99.65%。这种改进将使机器人提高现场位置估计的准确性。

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