SWARM
Distributed Localization for Multi-Robot Systems in Presence of Unlocalizable Robots
Zhiyun Lin, Zhimin Han, Ming Cao
- Year
- 2020
- Citations
- 8
Abstract
This paper considers the distributed localization problem for multi-robot systems in the plane with bearing measurements. A necessary and sufficient condition for individual robot to check triangular localizability is provided in terms of a geometric condition. Then a distributed orthogonal algorithm is presented for verifying whether a robot is triangularly localizable. In addition, this paper develops a distributed conjugate residual algorithm, which can solve the localization problem in a more efficient manner. Numerical simulations demonstrate the effectiveness of the approach.
Keywords
RobotComputer scienceDistributed algorithmResidualRobot kinematicsPlane (geometry)Mobile robotDistributed computingAlgorithmArtificial intelligence
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