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Communication-based and Communication-less approaches for Robust Cooperative Planning in Construction with a Team of UAVs

机译:基于通信和无通信的方法与无人机团队进行稳健的合作规划

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In this paper, we analyze the coordination problem of groups of aerial robots for assembly applications. With the enhancement of aerial physical interaction, construction applications are becoming more and more popular. In this domain, the multi-robot solution is very interesting to reduce the execution time. However, new methods to coordinate teams of aerial robots for the construction of complex structures are required. In this work, we propose an assembly planner that considers both assembly and geometric constraints imposed by the particular desired structure and employed robots, respectively. An efficient graph representation of the task dependencies is employed. Based on this framework, we design two assembly planning algorithms that are robust to robot failures. The first is centralized and communication-based. The second is distributed and communication-less. The latter is a solution for scenarios in which the communication network is not reliable. Both methods are validated by numerical simulations based on the assembly scenario of Challenge 2 of the robotic competition MBZIRC2020.
机译:在本文中,我们分析了用于组装应用的空中机器人组的协调问题。随着空中物理相互作用的增强,建筑应用变得越来越受欢迎。在这个领域,多机器人解决方案对于减少执行时间非常有趣。但是,需要新的方法来协调空中机器人团队以建造复杂的结构。在这项工作中,我们提出了一个组装计划器,该计划器要同时考虑由特定的所需结构和所使用的机器人施加的组装和几何约束。使用任务依赖项的有效图形表示。基于此框架,我们设计了两种对机器人故障具有鲁棒性的装配计划算法。首先是集中式和基于通信的。第二个是分布式的,无需通信。对于通信网络不可靠的情况,后者是一种解决方案。两种方法均通过基于机器人竞赛MBZIRC2020挑战2的装配场景的数值模拟进行了验证。

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