基于指向识别和目标识别的AMR手势接口与传输方法

T. Ikeda, Naoki Noda, S. Ueki, Hironao Yamada
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引用次数: 0

摘要

介绍了一种用于工厂搬运机器人的手势界面。我们提出的界面使用手势识别来识别指向方向,而不是像传统的指向手势估计那样估计点。当自主移动机器人(AMR)识别出指向方向后,基于目标识别进行位置控制。AMR沿着我们独特的路径行进,以确保其相机检测到要用于位置控制的对象。实验结果表明,该接口控制的AMR在5个实验对象和2种条件下的位置和角度误差平均为0.058 m和4.7°,能够满足运输的精度要求。一份调查问卷显示,与商用控制器的手动操作相比,我们的界面是用户友好的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gesture Interface and Transfer Method for AMR by Using Recognition of Pointing Direction and Object Recognition
This paper describes a gesture interface for a factory transfer robot. Our proposed interface used gesture recognition to recognize the pointing direction, instead of estimating the point as in conventional pointing gesture estimation. When the autonomous mobile robot (AMR) recognized the pointing direction, it performed position control based on the object recognition. The AMR traveled along our unique path to ensure that its camera detected the object to be referenced for position control. The experimental results confirmed that the position and angular errors of the AMR controlled with our interface were 0.058 m and 4.7° averaged over five subjects and two conditions, which were sufficiently accurate for transportation. A questionnaire showed that our interface was user-friendly compared with manual operation with a commercially available controller.
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