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A framework for self-reconfiguration planning for unit-modular robots.

机译:用于单元模块化机器人的自我重配置计划的框架。

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摘要

A novel strategy for self-reconfiguration of chain-type unit-modular robots is introduced. The strategy uses a graph representation for modular robots, allowing for compact processing of the robot's connectivity information. The main contributions of the research are the incorporation of kinematic and loading limitations in the choice of reconfiguration steps and the development of new graph-matching techniques which are useful not only in modular robot reconfiguration planning but in other engineering applications as well. This allows for generation of multiple candidate reconfiguration paths and the automatic elimination of infeasible reconfiguration steps.; This thesis begins with a discussion of the state of the art of robotic self-reconfiguration, followed by an overview of the graph theory which underlies the research. Once this foundation is laid, relevant existing methods for robotic reconfiguration are critiqued, and some subproblems preliminary to reconfiguration are discussed. The new reconfiguration algorithm is then outlined and illustrated through a series of examples. Kinematic and force analysis techniques designed for integration with the reconfiguration algorithm are also presented. The focus then returns to the important and broadly applicable combinatoric problem of graph matching, which must be performed preliminary to the actual reconfiguration planning. Finally, the findings of this thesis are summarized, and examples are given demonstrating potential extensions and further applications of the work presented here.
机译:介绍了一种新型的链式单元模块化机器人自重构策略。该策略使用模块化机器人的图形表示形式,从而可以紧凑地处理机器人的连接信息。该研究的主要贡献是在重新配置步骤的选择中纳入了运动学和载荷限制,并开发了新的图形匹配技术,这些技术不仅可用于模块化机器人重新配置规划,而且还可用于其他工程应用。这允许生成多个候选重新配置路径并自动消除不可行的重新配置步骤。本文首先讨论了机器人自我重构的技术现状,然后概述了作为研究基础的图论。一旦奠定了这一基础,就对现有的用于机器人重新配置的方法进行了评论,并讨论了重新配置的一些子问题。然后,通过一系列示例概述和说明新的重新配置算法。还介绍了设计用于与重新配置算法集成的运动学和力分析技术。然后,重点将转向图形匹配的重要且广泛适用的组合问题,必须在实际的重新配置计划之前进行该问题。最后,总结了本论文的发现,并举例说明了本文的潜在扩展和进一步应用。

著录项

  • 作者

    Nelson, Carl A.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 160 p.
  • 总页数 160
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

  • 入库时间 2022-08-17 11:42:48

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