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Cooperation issues and distributed sensing for multirobot systems

机译:多机器人系统的合作问题和分布式传感

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摘要

This paper considers the properties a multirobot system should exhibit to perform an assigned task cooperatively. Our experiments regard specifically the domain of RoboCup middle-size league (MSL) competitions. But the illustrated techniques can be usefully applied also to other service robotics fields like, for example, videosurveillance. Two issues are addressed in the paper. The former refers to the problem of dynamic role assignment in a team of robots. The latter concerns the problem of sharing the sensory information to cooperatively track moving objects. Both these problems have been extensively investigated over the past years by the MSL robot teams. In our paper, each individual robot has been designed to become reactively aware of the environment configuration. In addition, a dynamic role assignment policy among teammates is activated, based on the knowledge about the best behavior that the team is able to acquire through the shared sensorial information. We present the successful performance of the Artisti Veneti robot team at the MSL Challenge competitions of RoboCup-2003 to show the effectiveness of our proposed hybrid architecture, as well as some tests run in laboratory to validate the omnidirectional distributed vision system which allows us to share the information gathered by the omnidirectional cameras of our robots.
机译:本文考虑了多机器人系统应具有的性能,以协同执行分配的任务。我们的实验专门针对RoboCup中型联赛(MSL)比赛的领域。但是,所示出的技术也可以有用地应用于其他服务机器人领域,例如视频监视。本文讨论了两个问题。前者指的是一组机器人中动态角色分配的问题。后者涉及共享感官信息以协作地跟踪运动对象的问题。在过去的几年中,MSL机器人团队对这两个问题进行了广泛研究。在我们的论文中,每个单独的机器人都被设计为能够被动地意识到环境配置。此外,基于有关团队能够通过共享的感官信息获得的最佳行为的知识,激活了队友之间的动态角色分配策略。在RoboCup-2003的MSL Challenge竞赛中,我们展示了Artisti Veneti机器人团队的成功表现,以展示我们提出的混合架构的有效性,以及在实验室进行的一些测试,以验证可全方位共享的分布式视觉系统由我们的机器人全向摄像机收集的信息。

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