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 language | English |
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Title of host publication | 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 462-464 |
Number of pages | 3 |
ISBN (Electronic) | 9781467379700 |
DOIs | |
Publication status | Published - 2015 Dec 16 |
Event | 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 - Goyang City, Korea, Republic of Duration: 2015 Oct 28 → 2015 Oct 30 |
Publication series
Name | 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 |
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Other
Other | 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 |
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Country/Territory | Korea, Republic of |
City | Goyang City |
Period | 15/10/28 → 15/10/30 |
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