{"title":"Gesture Controlled Mobile Robot","authors":"E. Solly, Ahmed Aldabbagh","doi":"10.1109/HORA58378.2023.10156800","DOIUrl":null,"url":null,"abstract":"In this paper, a 3D printed remote-gesture-controlled maneuverable robot is presented. The manipulator system is based on two hand-worn glove controllers, represented by robotic manipulator arm and the robot vehicle. The developed approach of Human-Computer Interaction (HCI) employs the Arduino- platform, where both hands are used simultaneously to control the robot, expanding the human-robot interaction to a more humanly accessible design that can remotely control both an industrial style 5-axis robotic manipulator and a robot vehicle using hand gestures. The results prove the viability of using glove controllers for this developed design and the possibility of industrial implementations, such as gesture-controlled robotics that can benefit from further advancement. Moreover, the presented dynamic gesture control methods are a crucial medium for human-robot interaction (HRI).","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HORA58378.2023.10156800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

In this paper, a 3D printed remote-gesture-controlled maneuverable robot is presented. The manipulator system is based on two hand-worn glove controllers, represented by robotic manipulator arm and the robot vehicle. The developed approach of Human-Computer Interaction (HCI) employs the Arduino- platform, where both hands are used simultaneously to control the robot, expanding the human-robot interaction to a more humanly accessible design that can remotely control both an industrial style 5-axis robotic manipulator and a robot vehicle using hand gestures. The results prove the viability of using glove controllers for this developed design and the possibility of industrial implementations, such as gesture-controlled robotics that can benefit from further advancement. Moreover, the presented dynamic gesture control methods are a crucial medium for human-robot interaction (HRI).
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手势控制移动机器人
本文介绍了一种3D打印的远程手势控制机动机器人。机械手系统是基于两个手戴式手套控制器,分别以机械臂和机器人车辆为代表。开发的人机交互(HCI)方法采用Arduino平台,同时使用双手来控制机器人,将人机交互扩展到更人性化的设计,可以使用手势远程控制工业风格的5轴机器人机械手和机器人车辆。研究结果证明了手套控制器在这种开发设计中的可行性,以及工业应用的可能性,例如手势控制机器人,可以从进一步的发展中受益。此外,所提出的动态手势控制方法是实现人机交互(HRI)的关键媒介。
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