Publication
Multirobot C-SLAM: Simultaneous localization, control, and mapping
Conference Article
Conference
ICRA Workshop on Network Robot Systems (ICRA NRS)
Edition
2005
Pages
1-12
Doc link
http://www.irc.atr.jp/icra05_nrs_workshop/
File
Abstract
This paper is about closing the low level control loop during Multirobot Simultaneous Localization and Map Building from an estimation-control theoretic viewpoint. We present a multi-vehicle control strategy that uses the state estimates generated from the SLAM algorithm as input to a multi-vehicle controller. Given the separability between optimal state estimation and regulation, we show that the tracking error does not influence the estimation performance of a fully observable EKF based multirobot SLAM implementation, and vice versa, that estimation errors do not undermine controller performance. Furthermore, both the controller and estimator are shown to be asymptotically stable. The feasibility of using this technique to close the perception-action loop during multirobot SLAM is validated with simulation results.
Categories
robots.
Author keywords
multirobot SLAM, EKF, feedback linearization
Scientific reference
J. Andrade-Cetto, T. Vidal-Calleja and A. Sanfeliu. Multirobot C-SLAM: Simultaneous localization, control, and mapping, 2005 ICRA Workshop on Network Robot Systems, 2005, Barcelona, Espanya, pp. 1-12, IEEE.
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