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Constructing a platform of robust position estimation for mobile robot by ODR

机译:利用ODR构建移动机器人鲁棒位置估计平台

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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:如今,越来越需要能够自动移动并执行各种操作的机器人。本文中涉及的机器人是具有6-D.O.F机械手的两轮车。考虑到车辆的位置估计,常规方法是死锁法,估计的准确性几乎是良好的。但是,一旦车辆发生打滑,由于车轮打滑,根据死区推算估算出的位置会失去准确性。滑动环境经常出现在我们的生活空间中。因此,轮式机器人必须检测到打滑并补偿错误。考虑到上述问题,移动机器人应具有一些传感器,这些传感器可以在不与地面接触的情况下获得其位置和姿态。因此,本文提出了一种利用光学传感器估计车辆位置的方法。此方法称为光学死区召集(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的运动。从ODR获得的值没有地板打滑和摩擦的误差。基于这种ODR方法,将光学传感器安装在实际的机器人上,并显示了一些实验结果。

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