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Robot configuration for subterranean modeling.

机译:用于地下建模的机器人配置。

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摘要

Void models are invaluable for understanding subterranean conditions and guiding underground operations, but many maps are inaccurate, missing or difficult to acquire. Underground voids are inaccessible and often hostile to man and machine. Mapping and modeling of subterranean voids is a superb motivation for development of robots. Successful robot configurations for modeling subterranean worlds such as sewers, tunnels, mines and voids have yet to be created and characterized.This research identifies subterranean modeling tasks and exploration constraints. Modeling tasks range from limited two-dimensional cross sections to comprehensive, globally-referenced, three-dimensional coverage of vast voids. Entry constraints such as small diameter holes limit the size of robot configurations, but once inside, muck and obstacles require significant terrainability that only comes with larger size. Based on these conditions and constraints, robot configurations are conceived, developed, tested and classified.This research distinguishes three classes of robotic configuration for void modeling based on entry constraint and robot mobility. Portal Explorers are mobile robots featuring substantial locomotion, sophisticated sensing, and plentiful energy storage that can roam afar after being deployed via large diameter portals. Borehole Sensors provide exceptional modeling capability from fixed vantage points, while their miniaturization enables deployment down smallest diameter boreholes. Borehole Explorers combine some mobility with some borehole access miniaturization to acquire otherwise unobtainable model data. Mobility provides greater modeling coverage than possible with borehole sensors, while reconfigurability allows deployment via small diameter boreholes, enabling void access not possible with portal explorers.This research classifies subterranean modeling tasks, develops robots to address these tasks, and tests these robots by entering and modeling vast voids. Model data is used to evaluate the merits and limits of these important robot configurations. Additionally, field work provides insight into issues and operational approaches that are not otherwise apparent from lab work alone. Finally, future robot configurations and paradigms for subterranean robotics are envisioned.
机译:空洞模型对于理解地下条件和指导地下作业非常有用,但是许多地图不准确,丢失或难以获取。地下空隙是难以接近的,并且常常对人和机器有害。地下空间的映射和建模是机器人发展的绝佳动力。用于建模地下世界(例如下水道,隧道,矿井和空洞)的成功机器人配置尚未创建和表征。本研究确定了地下建模任务和勘探约束条件。建模任务的范围从有限的二维横截面到全面的,全球参考的,覆盖巨大空隙的三维覆盖范围。进入约束(例如小直径的孔)限制了机器人配置的大小,但是一旦进入内部,渣土和障碍物就需要具有较大的可地形性,而这只有更大的尺寸才能实现。基于这些条件和约束,对机器人配置进行了构想,开发,测试和分类。本研究根据进入约束和机器人移动性区分了用于空洞建模的三类机器人配置。 Portal Explorer是具有大量运动,先进的传感和丰富的能量存储功能的移动机器人,可以通过大直径的门户部署后在远处漫游。钻孔传感器可从固定的有利位置提供出色的建模能力,而它们的微型化则可以沿最小直径的钻孔部署。钻孔浏览器结合了一些机动性和一些小型化的钻孔方法,以获取原本无法获得的模型数据。与井眼传感器相比,移动性提供了更大的建模覆盖范围,而可重新配置性则允许通过小直径井眼进行部署,从而实现了门户探索器无法进行的空洞访问。模拟巨大的空隙。模型数据用于评估这些重要机器人配置的优缺点。此外,现场工作提供了对问题和操作方法的洞察力,而这些问题和操作方法仅凭实验室工作是看不到的。最后,可以预见地下机器人技术的未来机器人配置和范例。

著录项

  • 作者

    Omohundro, Zachary Meyer.;

  • 作者单位

    Carnegie Mellon University.;

  • 授予单位 Carnegie Mellon University.;
  • 学科 Engineering Mining.Engineering Robotics.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 164 p.
  • 总页数 164
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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