{"title":"PLATYPUS","authors":"Jose Pablo De la Rosa Gutierrez, A. S. Sørensen","doi":"10.1145/3568294.3580102","DOIUrl":null,"url":null,"abstract":"When robots are used for physical therapy, programming becomes too important to be left to programmers. Developing programs for training robots is time-consuming and requires expertise within multiple engineering domains, combined with physical training, therapy, and human interaction competencies. In this paper, we present Platypus: an end-user development environment that encompasses the design and execution of custom activities for robot-assisted physical training. The current version ships a set of plugins for Eclipse's IDE and uses a block-based visual language to specify the robot's behaviors at a high abstraction level, which are translated into the low-level code specifications followed by the robot. As a use case, we present its implementation on RoboTrainer, a modular, rope-based pulling device for training at home. While user tests suggest that the platform has the potential to reduce the technical obstacles for building custom training scenarios, informational and design learning barriers were revealed during the tests.","PeriodicalId":36515,"journal":{"name":"ACM Transactions on Human-Robot Interaction","volume":null,"pages":null},"PeriodicalIF":4.2000,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Human-Robot Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3568294.3580102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 1
Abstract
When robots are used for physical therapy, programming becomes too important to be left to programmers. Developing programs for training robots is time-consuming and requires expertise within multiple engineering domains, combined with physical training, therapy, and human interaction competencies. In this paper, we present Platypus: an end-user development environment that encompasses the design and execution of custom activities for robot-assisted physical training. The current version ships a set of plugins for Eclipse's IDE and uses a block-based visual language to specify the robot's behaviors at a high abstraction level, which are translated into the low-level code specifications followed by the robot. As a use case, we present its implementation on RoboTrainer, a modular, rope-based pulling device for training at home. While user tests suggest that the platform has the potential to reduce the technical obstacles for building custom training scenarios, informational and design learning barriers were revealed during the tests.
期刊介绍：
ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain.
THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.
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