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Distributes award protocol: A cooperation and communication method for robots.

机译:分发奖励协议:一种用于机器人的协作和通信方法。

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摘要

In this Master’s Thesis a new Distributed Award Protocol (DAP) for robot communication andudcooperation is presented. Task assignment (contract awarding) is done dynamically withudcontracts assigned to robots based upon the best bid received.udInstead of having a manager and a contractor it is proposed a fully distributed bidding/awardingudmechanism without a distinguished master. The best bidding robots are awarded with contractudfor execution. The contractors make decisions locally. This brings the following benefits: noudcommunication bottleneck, low computational power requirement, increased robustness.udDAP can handle multitasking. Tasks can be injected into system during the execution of alreadyudallocated tasks. As tasks have priorities, in the next cycle after taking into account actual bidudparameters of all robots, tasks can be re-allocated. The aim is to minimize a global cost functionudwhich is a compromise between cost of task execution and cost of resources usage.udInformation about tasks and bid values is spread among robots with the use of a Round RobinudRoute, which is a novel solution proposed in this work. This method allows also identifyingudfailed robots. Such failed robot is eliminated from the list of awarded robots and its replacementudis found so the task is still executed by a team. If the failure of a robot was temporary (e.g.udcommunication noise) and the robot can recover, it can again participate in the nextudbidding/awarding process.udUsing a bidding/awarding mechanism allows robots to dynamically relocate among tasks. This isudalso contributes to system robustness.udDAP was evaluated through multiple experiments done in the multi-robot simulation system. Various scenarios were tested to check the idea of the main algorithm. Different failures of robots (communication failures, partial hardware malfunctions) were simulated and observations were made regarding how DAP recovers from them. Also the DAPudflexibility to environment changes was watched. The experiments in the simulated environment confirmed the above features of DAP.
机译:在本硕士论文中,提出了一种新的用于机器人通信和 udcooperation的分布式奖励协议(DAP)。任务分配(合同授予)是根据分配给机器人的 ud合同动态地完成的。 ud而不是拥有经理和承包商,而是建议采用完全分布式的投标/授予 ud机制,而无需杰出的主人。出价最高的机器人将获得合同 ud执行。承包商在当地做出决定。这带来了以下好处:没有通信瓶颈,计算能力要求低,增强了鲁棒性。udDAP可以处理多任务。可以在已分配的任务执行期间将任务注入系统。由于任务具有优先级,因此在考虑所有机器人的实际出价 ud参数之后的下一个循环中,可以重新分配任务。目的是最小化全局成本函数 ud,这是任务执行成本与资源使用成本之间的折衷。 ud关于任务和投标值的信息通过使用Round Robin udRoute在机器人之间散布,这是一种新颖的方法解决方案中提出了这项工作。此方法还可以识别失败的机器人。此类失败的机器人将从获得奖励的机器人列表中删除,并且找到了替换机器人 udis,因此该任务仍由团队执行。如果机器人的故障是暂时的(例如 udcommunication噪声)并且机器人可以恢复,则它可以再次参与下一个 ududing / awarding过程。 ud使用投标/授予机制可以使机器人在任务之间动态地重新定位。 udDAP通过在多机器人仿真系统中进行的多次实验进行了评估。测试了各种方案以检查主算法的思想。模拟了机器人的各种故障(通信故障,部分硬件故障),并对DAP如何从中恢复进行了观察。还观察了DAP 对环境变化的灵活性。在模拟环境中进行的实验证实了DAP的上述功能。

著录项

  • 作者

    Kwiatkowski Krzysztof;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 eng
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