构建了一个基于ODR的移动机器人鲁棒位置估计平台

M. Kondo, K. Ohnishi
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引用次数: 5

摘要

今天,人们越来越需要能够自主移动和从事各种工作的机器人。本文所研究的机器人是一种六自由度的两轮机器人。F操纵者。考虑到车辆的位置估计,传统的方法是航位推算法,该方法的估计精度较好。但一旦车辆发生打滑,由于车轮旋转,由航位推算法估计的位置就会失去准确性。滑动环境在我们的生活空间中经常出现。因此轮式机器人必须检测滑移并补偿误差。综上所述,移动机器人应该有一些传感器,这些传感器可以从地面上非接触地获取其位置和姿态。因此,本文提出了利用光学传感器估计车辆位置的方法。这种方法被称为光位推算法(ODR)。安装在车身下方的两个光学传感器将扫描地面并检测车辆的运动。由ODR得到的值不存在地板滑移和摩擦的误差。基于该方法,在实际机器人上安装了光学传感器,并给出了一些实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constructing a platform of robust position estimation for mobile robot by ODR
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.
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