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Constructing a Platform of Robust Position Estimation for Mobile Robot by ODR

机译:ODR构建移动机器人的强大位置估计平台

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Today there is an increasing need for robots which move autonomously and work various operations. The robot taken up in this paper is two wheeled vehicle which has 6-D.O.F manipulator. Considering the position estimation of the vehicle, the conventional method is Dead-Reckoning method, which accuracy of estimation is almost good. But once slip occurs to the vehicle, a position estimated from dead-reckoning loses accuracy, because of wheelspin. Slip environment is often seen in our living space. So a wheeled robot has to detect a slip and compensate for the error. Counting the issue described above, mobile robot should have some sensors which obtains its position and attitude in noncontact from the floor. So in this paper, the method using optical sensor to estimate the vehicle position is proposed. This method is called Optical Dead-Reckoning (ODR) method. Two optical sensors mounted under the vehicle body is going to scan the floor and detect vehicle movement. The value obtained from ODR has no error of slip and friction of floor. Based on this ODR method, optical sensors are mounted on the actual robot, and some experimental results are shown.
机译:今天,对自主行动的机器人越来越需要,并工作各种操作。本文中占用的机器人是两个轮式车辆,具有6-D.O.F操纵器。考虑到车辆的位置估计,传统方法是死算的方法,估计的准确性几乎是好的。但是一旦滑动到车辆,由于轮换,从死亡估计的位置估计了估计的位置。防滑环境经常在我们的生活空间中看到。因此,轮式机器人必须检测滑动并补偿错误。计算上述问题,移动机器人应该有一些传感器,该传感器在从地板上获得其位置和姿态。因此,提出了使用光学传感器来估计车辆位置的方法。该方法称为光学死算(ODR)方法。安装在车身下方的两个光学传感器将扫描地板并检测车辆运动。从ODR获得的值没有滑动和摩擦的误差。基于该ODR方法,光学传感器安装在实际机器人上,并显示了一些实验结果。

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