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

Hyojoo Cho, Woo Jin Chung

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

3 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 (Print)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

Other

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

Keywords

  • human detection
  • human following
  • Kinect
  • LRF

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

Fingerprint Dive into the research topics of 'Preliminary research on robust leg-tracking indoor mobile robots by combining the Kinect and the laser range finder information'. Together they form a unique fingerprint.

  • Cite this

    Cho, H., & Chung, W. J. (2015). Preliminary research on robust leg-tracking indoor mobile robots by combining the Kinect and the laser range finder information. In 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 (pp. 462-464). [7358907] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/URAI.2015.7358907