{"title":"Design of a Controlled Robotic Arm","authors":"Chien-Wei Chen, Rui-Ming Hong, Hung-Yu Wang","doi":"10.1109/GTSD.2016.15","DOIUrl":null,"url":null,"abstract":"This paper presents a design of controlled robotic arm with myoelectric and body action signals. The implementation uses the sensed signals, via the signal processing of ARDUINO UNO R3 development board and NUC140VE3CN development board (ARM processor), to control the robotic arm wirelessly. The proposed design can be used in the dangerous operation environment. The users can contactlessly control the robotic arm safely. And it can operate specified action repeatedly and accurately for factory manufacture. The rotative angle of robotic arm controlled by Servomotor is decided by pulse width modulation signal obtained from microcontroller via BlueTooth 4.0 wireless technology. The pulse width modulation signal obtained from microcontroller is decided by the sensors located on the human's arm or sensor glove.","PeriodicalId":340479,"journal":{"name":"2016 3rd International Conference on Green Technology and Sustainable Development (GTSD)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Green Technology and Sustainable Development (GTSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GTSD.2016.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
This paper presents a design of controlled robotic arm with myoelectric and body action signals. The implementation uses the sensed signals, via the signal processing of ARDUINO UNO R3 development board and NUC140VE3CN development board (ARM processor), to control the robotic arm wirelessly. The proposed design can be used in the dangerous operation environment. The users can contactlessly control the robotic arm safely. And it can operate specified action repeatedly and accurately for factory manufacture. The rotative angle of robotic arm controlled by Servomotor is decided by pulse width modulation signal obtained from microcontroller via BlueTooth 4.0 wireless technology. The pulse width modulation signal obtained from microcontroller is decided by the sensors located on the human's arm or sensor glove.
提出了一种基于肌电信号和肢体动作信号的受控机械臂的设计。实现利用感知到的信号，通过ARDUINO UNO R3开发板和NUC140VE3CN开发板(ARM处理器)的信号处理，实现对机械臂的无线控制。该设计可适用于危险作业环境。用户可以安全地无接触控制机械臂。可重复、准确地完成指定动作，便于工厂化生产。通过蓝牙4.0无线技术从单片机获取脉宽调制信号，决定伺服电机控制机械臂的旋转角度。从单片机获得的脉宽调制信号由安装在人的手臂或传感器手套上的传感器决定。
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