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 | International Symposium on Practical Cognitive Agents and Robots, PCAR 2006 - Proceedings |
| Pages | 212-220 |
| Number of pages | 9 |
| DOIs | |
| Publication status | Published - 2006 Dec 1 |
| Event | International Symposium on Practical Cognitive Agents and Robots, PCAR 2006 - Perth, WA, Australia Duration: 2006 Nov 27 → 2006 Nov 28 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|---|
| Volume | 213 |
Conference
| Conference | International Symposium on Practical Cognitive Agents and Robots, PCAR 2006 |
|---|---|
| Country | Australia |
| City | Perth, WA |
| Period | 06/11/27 → 06/11/28 |
Keywords
- MCL
- home robot
- self-localization
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
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Cite this
Ahmad, N., Zhu, J., Nakamoto, H., & Matsuhira, N. (2006). Self-localization of home robot ApriAttenda™ based on Monte Carlo approach. In International Symposium on Practical Cognitive Agents and Robots, PCAR 2006 - Proceedings (pp. 212-220). (ACM International Conference Proceeding Series; Vol. 213). https://doi.org/10.1145/1232425.1232452