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Analytic integration of tolerances in designing precision interfaces for modular robotics.

机译:在设计模块化机器人的精密接口时,公差的分析集成。

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摘要

Modularity in robot structures allows for achieving various system configurations using a limited number of interconnecting modules. However, the requirement for system calibrations following reconfigurations must be diminished through the achievement of high accuracy and stiffness in module connections. The capability to design high performance connection interfaces that can guarantee the needed level of system accuracy is the key factor for the success of modular robotics. In this research, a simple analytical method is pursued, which relates the major connection interface design parameters such as stiffness, geometry, and manufacturing tolerances to the final relative position and orientation of the module connections. The primary purpose of this method is to efficiently obtain an initial set of design parameter values for connection interfaces considering both the allocated tolerances and the connection accuracy to be achieved based on the required accuracy level of the overall system. The obtained method is applied to design a precision module connection interface for a specific system, following an assessment on the desirable level of connection accuracy and stiffness. Stochastic accuracy analyses are performed on a linear connection model through matrix operations for the allocated manufacturing tolerances.
机译:机械手结构中的模块化允许使用数量有限的互连模块实现各种系统配置。但是,必须通过实现模块连接的高精度和高刚性来减少重新配置后对系统校准的要求。设计高性能连接接口的能力(可以保证所需的系统精度)是模块化机器人技术成功的关键因素。在这项研究中,人们寻求一种简单的分析方法,该方法将主要的连接界面设计参数(例如刚度,几何形状和制造公差)与模块连接的最终相对位置和方向相关联。该方法的主要目的是在考虑分配的公差和要基于整个系统的精度水平而实现的连接精度的情况下,有效地获取连接接口的一组初始设计参数值。在评估了连接精度和刚度的理想水平之后,将所获得的方法应用于为特定系统设计精密模块连接接口。针对分配的制造公差,通过矩阵运算对线性连接模型进行随机精度分析。

著录项

  • 作者

    Shin, Sung Ho.;

  • 作者单位

    The University of Texas at Austin.;

  • 授予单位 The University of Texas at Austin.;
  • 学科 Engineering Mechanical.; Artificial Intelligence.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 283 p.
  • 总页数 283
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;人工智能理论;
  • 关键词

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