{"title":"Robiot: A Design Tool for Actuating Everyday Objects with Automatically Generated 3D Printable Mechanisms","authors":"Jiahao Li, Jeeeun Kim, Xiang 'Anthony' Chen","doi":"10.1145/3332165.3347894","DOIUrl":null,"url":null,"abstract":"Users can now easily communicate digital information with an Internet of Things; in contrast, there remains a lack of support to automate physical tasks that involve legacy static objects, e.g. adjusting a desk lamp's angle for optimal brightness, turning on/off a manual faucet when washing dishes, sliding a window to maintain a preferred indoor temperature. Automating these simple physical tasks has the potential to improve people's quality of life, which is particularly important for people with a disability or in situational impairment. We present Robiot -- a design tool for generating mechanisms that can be attached to, motorized, and actuating legacy static objects to perform simple physical tasks. Users only need to take a short video manipulating an object to demonstrate an intended physical behavior. Robiot then extracts requisite parameters and automatically generates 3D models of the enabling actuation mechanisms by performing a scene and motion analysis of the 2D video in alignment with the object's 3D model. In an hour-long design session, six participants used Robiot to actuate seven everyday objects, imbuing them with the robotic capability to automate various physical tasks.","PeriodicalId":431403,"journal":{"name":"Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology","volume":"261 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3332165.3347894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33
Abstract
Users can now easily communicate digital information with an Internet of Things; in contrast, there remains a lack of support to automate physical tasks that involve legacy static objects, e.g. adjusting a desk lamp's angle for optimal brightness, turning on/off a manual faucet when washing dishes, sliding a window to maintain a preferred indoor temperature. Automating these simple physical tasks has the potential to improve people's quality of life, which is particularly important for people with a disability or in situational impairment. We present Robiot -- a design tool for generating mechanisms that can be attached to, motorized, and actuating legacy static objects to perform simple physical tasks. Users only need to take a short video manipulating an object to demonstrate an intended physical behavior. Robiot then extracts requisite parameters and automatically generates 3D models of the enabling actuation mechanisms by performing a scene and motion analysis of the 2D video in alignment with the object's 3D model. In an hour-long design session, six participants used Robiot to actuate seven everyday objects, imbuing them with the robotic capability to automate various physical tasks.