Abstract
A self-localization technique for home robot is developed for in-door environment. This simple and robust self-localization approach based on Monte Carlo algorithm recovers the robot from catastrophic position tracking failure or kidnapped condition. Position of the robot at different location in the map are determined by using information obtained by laser range finder attached in front of the robot and marker distance measured by stereo vision camera.
| Original language | English |
|---|---|
| Title of host publication | ACM International Conference Proceeding Series |
| Pages | 212-220 |
| Number of pages | 9 |
| Volume | 213 |
| DOIs | |
| Publication status | Published - 2006 |
| Externally published | Yes |
| Event | International Symposium on Practical Cognitive Agents and Robots, PCAR 2006 - Perth, WA Duration: 2006 Nov 27 → 2006 Nov 28 |
Other
| Other | International Symposium on Practical Cognitive Agents and Robots, PCAR 2006 |
|---|---|
| City | Perth, WA |
| Period | 06/11/27 → 06/11/28 |
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Keywords
- home robot
- MCL
- self-localization
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software
Cite this
Self-localization of home robot ApriAttenda™ based on Monte Carlo approach. / Ahmad, Nafis; Zhu, Jiang; Nakamoto, Hideichi; Matsuhira, Nobuto.
ACM International Conference Proceeding Series. Vol. 213 2006. p. 212-220.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Self-localization of home robot ApriAttenda™ based on Monte Carlo approach
AU - Ahmad, Nafis
AU - Zhu, Jiang
AU - Nakamoto, Hideichi
AU - Matsuhira, Nobuto
PY - 2006
Y1 - 2006
N2 - A self-localization technique for home robot is developed for in-door environment. This simple and robust self-localization approach based on Monte Carlo algorithm recovers the robot from catastrophic position tracking failure or kidnapped condition. Position of the robot at different location in the map are determined by using information obtained by laser range finder attached in front of the robot and marker distance measured by stereo vision camera.
AB - A self-localization technique for home robot is developed for in-door environment. This simple and robust self-localization approach based on Monte Carlo algorithm recovers the robot from catastrophic position tracking failure or kidnapped condition. Position of the robot at different location in the map are determined by using information obtained by laser range finder attached in front of the robot and marker distance measured by stereo vision camera.
KW - home robot
KW - MCL
KW - self-localization
UR - http://www.scopus.com/inward/record.url?scp=77953489559&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77953489559&partnerID=8YFLogxK
U2 - 10.1145/1232425.1232452
DO - 10.1145/1232425.1232452
M3 - Conference contribution
SN - 1740521307
SN - 9781740521307
VL - 213
SP - 212
EP - 220
BT - ACM International Conference Proceeding Series
ER -