首页> 外文会议>Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on >Humatronics (1) - natural interaction between human and networked robot using human motion recognition
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Humatronics (1) - natural interaction between human and networked robot using human motion recognition

机译:Humatronics(1)-使用人体运动识别的人与网络机器人之间的自然交互

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In this research, we show two experiments using non-verbal interaction based on 'humatronics' which construct natural interaction between human and systems. Recently, we use various types of systems based on electronics. However, these systems are not useful and imposes burden. The electronics for solving these problems are called "humatronics". Advanced humatronics are mostly needed for natural communication between human and system. Thus, we think nonverbal communication is basic, and important for communication between human. Moreover, We focus on the networked robotics which is fusion of network technology and robot technology. We constructed nonverbal interface by using human natural motion. In the first experiment, we created commands using hand motion which is based on natural motion, such as becking, hissing away and so on. We constructed robot manipulation system using these commands. Furthermore, we compared the user-friendly of our system with present keyboard manipulation system. In the second experiment, in order to manipulate a robot using more natural motion, we proposed 'pointing movement'. Moreover, we constructed networked robots that recognizes human motion spatially. Accordingly, the user will be able to manipulate the robot with more natural motion in larger space.
机译:在这项研究中,我们展示了两个基于“ humatronics”的非语言交互作用的实验,该交互作用构建了人与系统之间的自然交互作用。最近,我们使用各种基于电子的系统。但是,这些系统没有用,并且会带来负担。解决这些问题的电子设备称为“ humatronics”。人与系统之间的自然交流最需要先进的智能电子设备。因此,我们认为非语言交流是基本的,对于人与人之间的交流很重要。此外,我们专注于网络机器人技术,它是网络技术和机器人技术的融合。我们利用人类的自然运动构造了非语言界面。在第一个实验中,我们使用基于自然运动的手部动作创建了命令,例如贝克,嘶嘶声等。我们使用这些命令构建了机器人操纵系统。此外,我们将系统的用户友好性与当前的键盘操作系统进行了比较。在第二个实验中,为了使用更自然的运动来操纵机器人,我们提出了“指向运动”。此外,我们构建了可在空间上识别人类运动的联网机器人。因此,用户将能够在更大的空间中以更自然的动作来操纵机器人。

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