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首页> 外文期刊>Sensors and Actuators, A. Physical >A Wireless-controlled 3D printed Robotic Hand Motion System with Flex Force Sensors
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A Wireless-controlled 3D printed Robotic Hand Motion System with Flex Force Sensors

机译:具有弯曲力传感器的无线控制3D印刷机器人手动运动系统

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摘要

Hand gesture recognition is an emerging field of technology in robotics and human-computer interaction. It has tremendous applications in daily life activities and intelligent workplaces. In this study, a system which could help people to work and operate without directly using hands or contacting by hands, is proposed and demonstrated. This system composed of a glove with flexible force sensors and a 3D printed robotic forearm. The user wearing the glove could control the action of the 3D printed robotic forearm. The 3D printed forearm simultaneously acted following the motion of the glove. The 3D printed forearm was composed of 46 individual parts that were printed with white biodegradable polylactic acid (PLA). Electronic components in the system are five flex sensors, a master Arduino Nano, a slave Arduino Nano, a wireless NRF24L01 transmitter module banding on the glove, a second wireless NRF24L01 receiver module in the forearm and five motors. The five flex sensors on the fingers of the glove detected and collected the signals reflecting the movements of the hands. The Arduino Nano processed the signals from the flex sensors and sent them through the wireless transmitter module to the slave Arduino Nano. In order to control the action of the robotic forearm, it was embedded with a slave Arduino Nano as a control kernel, a wireless NRF24L01 receiver module and five actuators. The slave Arduino Nano received and processed the signals through the wireless receiver module. After that, the signals were sent to the actuators- servo motors. The fingers' action in the robotics arm was executed with the actuators. After carefully testing the system, the robotic arm followed the action correctly with a maximum 0.133 ms time delay all the time. This system could be really useful for the users who work in dangerous conditions, hazardous environment or require remote operation for safety reasons. (C) 2020 Elsevier B.V. All rights reserved.
机译:手势识别是机器人技术和人机互动中的新兴技术领域。它在日常生活活动和智能工作场所具有巨大的应用。在这项研究中,提出了一种可以帮助人们在没有直接使用手或用手的情况下工作和操作的系统,并证明。该系统由带有柔性力传感器的手套和3D印刷机器人前臂组成。佩戴手套的用户可以控制3D印刷机器人前臂的动作。 3D印刷的前臂同时按照手套的运动进行行动。 3D印刷前臂由带有白色可生物降解的聚乳酸(PLA)印刷的46个单独部件组成。系统中的电子元件是五个柔性传感器,一个主arduino nano,一个奴隶arduino nano,一个在手套上的无线NRF24L01发射器模块带,前臂和五个电动机中的第二无线NRF24L01接收器模块。在手套的手指上检测到的五个柔性传感器并收集反映手动运动的信号。 Arduino Nano从柔性传感器处理信号,并通过无线发射器模块向奴隶arduino nano发送。为了控制机器人前臂的动作,它嵌入了从奴隶纳米作为控制内核,无线NRF24L01接收器模块和五个致动器。从无线接收器模块接收并处理信号的奴隶arduino nano。之后,将信号发送到执行器 - 伺服电机。用执行器执行机器人手臂中的手指的动作。在仔细测试系统之后,机器人手臂遵循正确的动作,最大为0.133 ms的时间延迟。此系统对在危险条件,危险环境中工作的用户非常有用,或出于安全原因需要远程操作。 (c)2020 Elsevier B.v.保留所有权利。

著录项

  • 来源
    《Sensors and Actuators, A. Physical》 |2020年第1期|共10页
  • 作者单位

    Univ London Sch Math Comp Sci &

    Engn Dept Elect &

    Elect Engn Northampton Sq London EC1V 0HB England;

    Univ London Sch Math Comp Sci &

    Engn Dept Elect &

    Elect Engn Northampton Sq London EC1V 0HB England;

    Dalian Polytech Univ Sch Informat Sci &

    Engn Dalian 116034 Peoples R China;

    Shanghai Jiao Tong Univ Sch Mat Sci &

    Engn State Key Lab Met Matrix Composites Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Sch Mat Sci &

    Engn State Key Lab Met Matrix Composites Shanghai 200240 Peoples R China;

    Univ London Sch Math Comp Sci &

    Engn Dept Elect &

    Elect Engn Northampton Sq London EC1V 0HB England;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TP212.1;
  • 关键词

    Arduino Nano; Flex force sensors; NRF24L01 module; hand motion; 3D printed robotic arm;

    机译:arduino nano;弯曲力传感器;nrf24l01模块;手动运动;3d印刷机器人手臂;

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