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A solution with multiple robots and Kinect systems to implement the parallel coverage problem

机译:具有多个机器人和Kinect系统的解决方案,以实现并行覆盖问题

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The coverage problem has been traditionally solved for a given number of robots with randomly generated positions. However, our recent work presented a solution to the parallel coverage problem that optimizes the number of robots starting at the same location. The motivations are: (i) the number of involved robots affects the total coverage cost, and (ii) it requires extra effort to place them at real-world locations. In this work we present a control algorithm for multiple robots with Kinect systems to implement the solution to the parallel coverage problem. Our algorithm utilizes a multi-robot formation. Robots need to localize themselves to know where they are within a map. To localize the robots and to reduce inter-communication, we introduce a technique to place only certain robots in a team. This work also presents an algorithm on how to manage dynamic changes of a group of formations in order to solve the coverage problem. This paper demonstrates the mission, which is to visit every desired position to cover an indoor environment, with a team of real robots and the Kinect system.
机译:传统上已经解决了给定数量的具有随机生成位置的机器人的覆盖问题。但是,我们最近的工作提出了一种针对并行覆盖问题的解决方案,该问题可以优化从同一位置开始的机器人的数量。其动机是:(i)涉及的机器人数量会影响总的覆盖成本,并且(ii)需要更多的努力才能将它们放置在实际位置。在这项工作中,我们提出了一种针对具有Kinect系统的多个机器人的控制算法,以实现并行覆盖问题的解决方案。我们的算法利用了多机器人编队。机器人需要本地化以了解它们在地图中的位置。为了本地化机器人并减少相互通信,我们引入了一种仅在团队中放置某些机器人的技术。这项工作还提出了有关如何管理一组岩层动态变化以解决覆盖问题的算法。本文演示了一个任务,即使用一组实际的机器人和Kinect系统访问每个所需的位置以覆盖室内环境。

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