An Enhanced CSLAM for Multi-robot Based on Unscented Kalman Filter

Title
An Enhanced CSLAM for Multi-robot Based on Unscented Kalman Filter
Author(s)
이석규최경식[최경식]
Keywords
SIMULTANEOUS LOCALIZATION; TRANSFORMATION
Issue Date
201202
Publisher
INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS
Citation
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v.10, no.1, pp.102 - 108
Abstract
This paper proposes an unscented Kalman filter (UKF) based coordinative, simultaneous localization and mapping (CSLAM) system, in which robots share common mapping information. The SLAM information obtained by a master robot is shared with slave robots, which estimate only their own localizations using comparatively simple sensors. The behavior of the slave robots depends on the reconstructed CSLAM using information transmitted by the master robot. The proposed process reduces the processing burden of the slave robots, which results in a reduction of the calculation time and the complexity of their hardware system. By comparing the proposed algorithm with some conventional methods in terms of system stability, the efficiency of the proposed method is verified.
URI
http://hdl.handle.net/YU.REPOSITORY/29855http://dx.doi.org/10.1007/s12555-012-0111-4
ISSN
1598-6446
Appears in Collections:
공과대학 > 전기공학과 > Articles
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