Vision based office assistant robot system for indoor office environment

dc.contributor.authorDiddeniya, SIAP
dc.contributor.authorAdikari, AMSB
dc.contributor.authorGunasinghe, HN
dc.contributor.authorDe Silva, PRS
dc.contributor.authorGanegoda, NC
dc.contributor.authorWanniarachchi, WKIL
dc.contributor.editorWijesiriwardana, CP
dc.date.accessioned2022-12-05T05:51:49Z
dc.date.available2022-12-05T05:51:49Z
dc.date.issued2018
dc.description.abstractThis paper presents an office assistant robot that can be used in an unstructured indoor office environment. Among many technologies available, we used free and open source software and inexpensive sensors and materials to build the low cost but accurate robot. Robotic Operating System (ROS) indigo was used as the ground operating system on Ubuntu 14.04. The mobile robot, iRobot Create 2 was used as the basic robot and a structure was built to carry a mini-laptop and PrimeSense 3D vision sensor. A workstation computer was used as the central location PC which was kept still and map of office environment is built on it. User is able to give commands to the system via voice and virtual keys by the developed Android application (App). These three units, mobile robot, central workstation and Android devices, communicates through a Wi-Fi connection. The proposed robot could deliver documents or parcels in between office members according to the user commands. We allowed the robot to navigate autonomously and randomly between users and monitored its accuracy by looking at the completion of the route to a target user. Results show that the office assistant delivery robot has above 92% of accuracy in delivery process for a valid user input.en_US
dc.identifier.citationS. I. A. P. Diddeniya, A. M. S. B. Adikari, H. N. Gunasinghe, P. R. S. De Silva, N. C. Ganegoda and W. K. I. L. Wanniarachchi, "Vision Based Office Assistant Robot System for Indoor Office Environment," 2018 3rd International Conference on Information Technology Research (ICITR), 2018, pp. 1-6, doi: 10.1109/ICITR.2018.8736141.en_US
dc.identifier.conference3rd International Conference on Information Technology Research 2018en_US
dc.identifier.departmentInformation Technology Research Unit, Faculty of Information Technology, University of Moratuwa.en_US
dc.identifier.doidoi: 10.1109/ICITR.2018.8736141en_US
dc.identifier.emailisankadiddeniya@sjp.ac.lken_US
dc.identifier.emailiwanni@sjp.ac.lken_US
dc.identifier.facultyITen_US
dc.identifier.proceedingProceedings of the 3rdth International Conference in Information Technology Research 2018en_US
dc.identifier.proceedingProceedings of the 3rd International Conference in Information Technology Research 2018en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/19648
dc.identifier.year2018en_US
dc.language.isoenen_US
dc.publisherInformation Technology Research Unit, Faculty of Information Technology, University of Moratuwa, Sri Lankaen_US
dc.relation.urihttps://ieeexplore.ieee.org/document/8736141en_US
dc.subjectService Robotsen_US
dc.subjectRGB-D Perceptionen_US
dc.subjectSLAMen_US
dc.subjectLocalizationen_US
dc.subjectMappingen_US
dc.subjectVisual-Based Navigationen_US
dc.subjectVoice Recognitionen_US
dc.titleVision based office assistant robot system for indoor office environmenten_US
dc.typeConference-Full-texten_US

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