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首页> 外文期刊>International Journal on Smart Sensing and Intelligent Systems >EVALUATION OF FINGER DIRECTION RECOGNITION METHOD FOR BEHAVIOR CONTROL OF ROBOT
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EVALUATION OF FINGER DIRECTION RECOGNITION METHOD FOR BEHAVIOR CONTROL OF ROBOT

机译:机器人行为控制的手指方向识别方法评价

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When a human gives an order to a robot, the robot must often use its vision to ascertain thehuman’s indication. In our previous paper, to develop a system where robots precisely receive and obeyhuman orders in daily work spaces, we proposed an experimental system for finger directionrecognition (FDR) in 3D space using stereo matching by mounting two cameras on the robot. In thispaper, we evaluate this system for FDR in 3D space by performing a series of evaluation experimentsusing a turntable capable of fixing a hand in a specific finger direction. We estimated various fingerdirections and distances for two major pointing hand forms (Forms 1 and 2) and evaluated theprecision of θ and Φ. We conclude that the θ and Φ estimations are valid because the estimation erroris almost within 10when the distance between the camera and object is less than 110 and 80 cm for θand Φ for Forms 1 and 2, respectively. Finally, we applied our FDR system to the communicationbetween a robot and a person by visual and tactile sensations. In the application test, the robotrecognized the object at which the person pointed and put it in the person’s palm.
机译:当人下达命令给机器人时,机器人必须经常使用其视觉来确定人的指示。在我们之前的论文中,为了开发一种机器人在日常工作空间中精确地接收和服从人类命令的系统,我们提出了一种通过在机器人上安装两个摄像头来实现立体匹配的3D空间中手指方向识别(FDR)实验系统。在本文中,我们通过使用能够将手固定在特定手指方向上的转盘进行一系列评估实验,来评估该系统在3D空间中的FDR。我们估计了两种主要指向手形式(形式1和2)的各种手指方向和距离,并评估了θ和Φ的精度。我们得出结论,θ和Φ估计是有效的,因为当相机和物体之间的距离分别小于形式1和2的θ和Φ时,相机和物体之间的距离小于110和80 cm时,估计误差几乎在10内。最后,我们将FDR系统通过视觉和触觉应用于机器人与人之间的通信。在应用测试中,机器人识别出人指向的物体并将其放在人的手掌中。

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