Rigidity Theory in SE(2) for Unscaled Relative Position Estimation using only Bearing Measurements
arXiv:1311.1044 · doi:10.1109/ECC.2014.6862558
Abstract
This work considers the problem of estimating the unscaled relative positions of a multi-robot team in a common reference frame from bearing-only measurements. Each robot has access to a relative bearing measurement taken from the local body frame of the robot, and the robots have no knowledge of a common or inertial reference frame. A corresponding extension of rigidity theory is made for frameworks embedded in the \emph{special Euclidean group} . We introduce definitions describing rigidity for frameworks and provide necessary and sufficient conditions for when such a framework is \emph{infinitesimally rigid} in . Analogous to the rigidity matrix for point formations, we introduce the \emph{directed bearing rigidity matrix} and show that an framework is infinitesimally rigid if and only if the rank of this matrix is equal to , where is the number of agents in the ensemble. The directed bearing rigidity matrix and its properties are then used in the implementation and convergence proof of a distributed estimator to determine the {unscaled}{} relative positions in a common frame. Some simulation results are also given to support the analysis.
submitted to 2014 European Control Conference
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