Iterative Solution of Relative Localization for Cooperative Multi-robot Using IEKF
Kyunghyun Lee, Hyungkwan Kwon, Kwanho You
- 发表年份
- 2017
- 引用次数
- 4
- 访问权限
- 开放获取
摘要
Recently, multi-robot systems are emerging in various industries. The multi-robot systems have several advantages in comparison with a single-robot system. The task of single-robot system is limited, because a bigger robot is required to perform more multiple functions. However, multi-robot systems can distribute the functions to each robot. The localization problem is essential for realization and it becomes more important in the multi-robot system. The multi-robot system needs to work maintaining a formation. In order to accomplish the given mission in the demanded formation, the localization is important. For multi-robot localization, we use the relative position to find robots' position based on odometry sensor, and the iterative Kalman filter algorithm is utilized to estimate the accurate position.
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