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首页> 外文期刊>American Journal of Aerospace Engineering >Detection and Tele-replication of Human Hand Motions by a Robotic Hand
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Detection and Tele-replication of Human Hand Motions by a Robotic Hand

机译:机器人手对人的手部动作的检测和远程复制

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This paper presents a tele-operated robotic hand controlled by replication of human hand motions and is focused on the description of technical solutions for detection and tele-replication of movements, in order to control a robotic hand. The purpose of such research is justified by the need of high precision human controlled operations in special environments. The system is based on a flex sensors set with processing units and has as effectors a robotic arm and an anthropomorphic hand. The current article displays the modality of achieving an anthropomorphic robotic arm capable of efficiently handling objects of different sizes. In order to implement and test the technical and computing solutions, the authors have used a commercial product as experimental platform and improved it both in its mechanical structure and in its command and control system. For implementing the motion algorithms of the robotic arm, a method was developed for decoding arm movements performed by a human operator. To this end, bending sensors placed at the human operator's joints (shoulder, elbow, wrist and fingers) were used. Signals collected from the sensors during the realization of these different movements by the human operator were decoded, processed and implemented in the drive system corresponding to the anthropomorphic robotic arm. In this regard, all sets of complex movements by the human arm operator were duplicated and implemented in the anthropomorphic robotic arm. The results obtained in handling various objects by means of using the anthropomorphic robotic arm have certified the effectiveness of this method.
机译:本文介绍了一种通过复制人类手部运动来控制的遥控机器人手,重点介绍了用于检测和遥控复制运动以控制机器人手的技术解决方案。此类研究的目的是在特殊环境中需要高精度的人为操作来证明的。该系统基于带有处理单元的柔性传感器,并具有机械臂和拟人化的手作为执行器。当前文章展示了一种能够有效处理不同大小物体的拟人化机械臂的方法。为了实施和测试技术和计算解决方案,作者已经使用商业产品作为实验平台,并对其机械结构以及命令和控制系统进行了改进。为了实现机械臂的运动算法,开发了一种用于解码人类操作员执行的臂运动的方法。为此,使用了位于操作员关节(肩膀,肘部,手腕和手指)关节处的弯曲传感器。在人类操作员实现这些不同动作期间从传感器收集的信号在对应于拟人化机械臂的驱动系统中进行解码,处理和实现。在这方面,人类手臂操作员的所有复杂动作都被复制并在拟人化的机器人手臂中实施。通过使用拟人化机械臂处理各种物体而获得的结果证明了该方法的有效性。

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