Mathematics – Optimization and Control
Scientific paper
2011-05-11
Mathematics
Optimization and Control
This paper accompanies a presentation to be given at Eighth International Workshop on Robot Motion and Control (RoMoCo'11)
Scientific paper
In this paper, we first review the theory of symmetry-preserving observers and we mention some recent results. Then, we apply the theory to Extended Kalman Filter-based Simultaneous Localization and Mapping (EKF SLAM). It allows to derive a new (symmetry-preserving) Extended Kalman Filter for the non-linear SLAM problem that possesses convergence properties. We also prove a special choice of the gains ensures global exponential convergence.
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