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Retrieval of Misplaced Items Using a Mobile Robot via Visual Object Recognition

  • Zhejiang University
  • Oklahoma State University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Finding misplaced items inside a home is still a headache for most people, especially the elderly. Aiming at easing the search of these items in home environments, this paper presents a misplaced items retrieval system based on a service robot. First, a natural human interface is developed on the robot, so that it can recognize voice commands from users. Then, an object recognition based on the deep learning Convolutional Neural Networks (CNN) is applied to detect the misplaced items. Next the searching result is announced verbally to the user, meanwhile the location of the item is indicated in the remote user end. Finally, experimental results verify that the proposed system can provide an effective searching service for misplaced items in a home environment.

Original languageEnglish
Title of host publication2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1188-1193
Number of pages6
ISBN (Print)9781538604892
DOIs
StatePublished - 24 Aug 2018
Externally publishedYes
Event7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017 - Honolulu, United States
Duration: 31 Jul 20174 Aug 2017

Publication series

Name2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017

Conference

Conference7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
Country/TerritoryUnited States
CityHonolulu
Period31/07/174/08/17

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