| International Journal of Advanced Robotic Systems | |
| A Method for Active Global Localization in Multi-robot System | |
| 关键词: cooperative localization; active localization; Monte Carlo Loclization; | |
| DOI : 10.5772/5606 | |
| 学科分类:自动化工程 | |
| 来源: InTech | |
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【 摘 要 】
In multi-robot system the ability to exchange information can reduce the uncertainty in the estimated location when robots can see each other. In this paper, a kind of dynamically evolving coordination architecture is proposed for cooperative localization according to the relative positions between robots. And to further improve the efficiency of cooperative localization, a decision theory based mechanism is proposed to make the robots cooperate actively during the localization process. Since stably tracking the multi-hypothesis of the robots' own position and their partners' position is of great importance for making a good decision of where to go in active localization, the co-evolution based adaptive Monte Carlo localization method in which samples are clustered into species to represents a hypothesis of robot's pose in a higher level than a single sample is adopted. Experiments are designed and carried out to prove the efficiency and stability of the proposed method.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201902183567927ZK.pdf | 701KB |
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