  We describe an application of the Invariant Extended Kalman Filter (IEKF)
design methodology to the scan matching SLAM problem. We review the theoretical
foundations of the IEKF and its practical interest of guaranteeing robustness
to poor state estimates, then implement the filter on a wheeled robot hardware
platform. The proposed design is successfully validated in experimental
testing.
