TY - GEN
T1 - Preliminary research on robust leg-tracking indoor mobile robots by combining the Kinect and the laser range finder information
AU - Cho, Hyojoo
AU - Chung, Woojin
N1 - 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)
PY - 2015/12/16
Y1 - 2015/12/16
N2 - 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.
AB - 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.
KW - Kinect
KW - LRF
KW - human detection
KW - human following
UR - http://www.scopus.com/inward/record.url?scp=84962752724&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962752724&partnerID=8YFLogxK
U2 - 10.1109/URAI.2015.7358907
DO - 10.1109/URAI.2015.7358907
M3 - Conference contribution
AN - SCOPUS:84962752724
T3 - 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015
SP - 462
EP - 464
BT - 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015
Y2 - 28 October 2015 through 30 October 2015
ER -