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Designing Robot Teams for Distributed Construction, Repair, and Maintenance

机译:设计用于分布式构造,维修和维护的机器人团队

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摘要

Designing teams of autonomous robots that can create target structures or repair damage to those structures on either a one-off or ongoing basis is an important problem in distributed robotics. However, it is not known if a team design algorithm for any of these tasks can both have low runtime and produce teams that will always perform their specified tasks quickly and correctly. In this article, we give the first computational and parameterized complexity analyses of several robot team design problems associated with creating, repairing, and maintaining target structures in given environments. Our goals are to establish whether efficient design algorithms exist that operate reliably on all possible inputs and, if not, under which restrictions such algorithms are and are not possible. We prove that all of our design problems are not efficiently solvable in general for heterogeneous robot teams and remain so under a number of plausible restrictions on robot controllers, environments, and target structures. We also give the first restrictions relative to which some of these problems may be efficiently solvable and discuss how theoretical results like those derived here can be combined with physical experiments to derive the best possible algorithms for real-world robot team design.
机译:设计可以创建目标结构或一次性修复或破坏这些结构的自主机器人的团队是分布式机器人技术中的一个重要问题。但是,尚不知道针对这些任务中的任何一项的团队设计算法是否可以同时具有较低的运行时间,并且能否使团队始终快速而正确地执行其指定任务。在本文中,我们对与给定环境中创建,维修和维护目标结构相关的几个机器人团队设计问题进行了首次计算和参数化的复杂度分析。我们的目标是确定是否存在可以在所有可能的输入上可靠运行的高效设计算法,如果没有,则在这样的限制下,这种算法是否可行。我们证明,对于异构机器人团队来说,我们所有的设计问题通常都无法有效解决,并且在机器人控制器,环境和目标结构的许多合理限制下仍然存在。我们还给出了可以有效解决其中一些问题的第一个限制,并讨论了如何将类似于此处得出的理论结果与物理实验相结合,以得出用于现实世界机器人团队设计的最佳算法。

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