Preliminary research on robust leg-tracking indoor mobile robots by combining the Kinect and the laser range finder information

Hyojoo Cho, Woojin Chung

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    One of the main challenges in field of service robots is the development of human-following technology. There are many potential applications of human-following robots, including human following shopping carts, airport porter robots, and guide robots at museums. In this study, we examined the human-tracking mobile robot using skeletal data from Kinect sensors and investigated its target-tracking accuracy through experiments. On the basis of this research, we aim to improve the reliability of human-tracking mobile robots using a single Laser Range Finder (LRF) in our future work.

    Original languageEnglish
    Title of host publication2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages462-464
    Number of pages3
    ISBN (Electronic)9781467379700
    DOIs
    Publication statusPublished - 2015 Dec 16
    Event12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 - Goyang City, Korea, Republic of
    Duration: 2015 Oct 282015 Oct 30

    Publication series

    Name2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015

    Other

    Other12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015
    Country/TerritoryKorea, Republic of
    CityGoyang City
    Period15/10/2815/10/30

    Bibliographical note

    Funding Information:
    This research was supported by RandD Convergence Center Support Program(714002-7, Education and Research on agricultural Automation), Ministry of Agriculture, Food and Rural Affairs and supported by the Industrial Convergence Core Technology Development Program (No. 10048474) funded by the Ministry of Trade, industry and Energy (MOTIE), Korea. This work was also supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (NRF-2014R1A2A1A10049634)

    Publisher Copyright:
    © 2015 IEEE.

    Keywords

    • Kinect
    • LRF
    • human detection
    • human following

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Human-Computer Interaction

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