Name
Abstract | ||
|---|---|---|
The objective of this paper is to develop a localization system of cooperative multiple mobile robots, in which each robot is assumed to observe a set of known landmarks and equipped with an omnidirectional camera. In this paper, it is assumed that a robot can detect other robots by using the omnidirectional camera, share its estimated position with others, and utilize shared positions for its localization. In other words, each robot can be viewed as an additional mobile landmark to a set of stationary landmarks. A foremost concern is how well this system performs localization under a limited amount of information. This paper presents an investigation of self localization error of each robot in a group using Extended Kalman Filter to solve the localization problem with the insufficient landmarks and inaccurate position information. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.20965/jaciii.2011.p1269 | JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS |
Keywords | Field | DocType |
swarm robotics, sensor network, localization, Kalman filter | Sensor node,Computer science,Kalman filter,Artificial intelligence,Robot,Wireless sensor network,Machine learning,Swarm robotics | Journal |
Volume | Issue | ISSN |
15 | 9 | 1343-0130 |
Citations | PageRank | References |
1 | 0.41 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Keitaro Naruse | 1 | 47 | 19.98 |
| Shigekazu Fukui | 2 | 1 | 0.41 |
| Jie Luo | 3 | 706 | 73.44 |