L. Ciuccarelli, A. Freddi, S. Longhi, A. Monteriù, D. Ortenzi, D. P. Pagnotta
{"title":"Cooperative Robots Architecture for an Assistive Scenario","authors":"L. Ciuccarelli, A. Freddi, S. Longhi, A. Monteriù, D. Ortenzi, D. P. Pagnotta","doi":"10.1109/ZINC.2018.8448951","DOIUrl":null,"url":null,"abstract":"This paper proposes an assistive robotic solution for elderly people and/or people suffering from lower limbs problem. The proposed architecture consists of a Smart Wheelchair (SWC) and a Robotic Workstation (RW) which cooperate in order to perform an autonomous navigation and manipulation task. The system allows the user to choose a point on the map to move to and/or an object to manipulate. The SWC is able to autonomously navigate to the desired RW, while the localization is performed via an Unscented Kalman Filter (UKF). Moreover, QR codes have been used as landmarks to compensate the pose estimation error. The system was tested both in simulation and in a real scenario.","PeriodicalId":366195,"journal":{"name":"2018 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Zooming Innovation in Consumer Technologies Conference (ZINC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ZINC.2018.8448951","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper proposes an assistive robotic solution for elderly people and/or people suffering from lower limbs problem. The proposed architecture consists of a Smart Wheelchair (SWC) and a Robotic Workstation (RW) which cooperate in order to perform an autonomous navigation and manipulation task. The system allows the user to choose a point on the map to move to and/or an object to manipulate. The SWC is able to autonomously navigate to the desired RW, while the localization is performed via an Unscented Kalman Filter (UKF). Moreover, QR codes have been used as landmarks to compensate the pose estimation error. The system was tested both in simulation and in a real scenario.