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Humanoids toward Practical Applications - Robotic Material Handling.

机译:面向实际应用的类人动物-机器人物料搬运。

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摘要

Humanoids have been developed over the past few decades through the integration of many high-level technologies. These robots are designed to function in human-centered environments, like homes, offices, hospitals and factories. Previous generations of humanoids have been developed to showcase technological prowess and captivate the general public but the demand for practical uses like patient nursing in hospitals, industrial efficiency in factories and warehouses, and disaster restorations has spurred research towards more robust interactions with humanoids and human-centered environments. Such practical uses require humanoids' capabilities to percept surroundings, manipulate tools, and navigate through the real world environments. Furthermore, these humanoids must be reliable, stable, and adaptable to arbitrary environments. However, a lack of artificial intelligence and integration of loosely-coupled sub-fields in humanoids, namely legged walking, motion planning, force control and manipulation, hinder the immediate utilization of these robots in practical applications.This dissertation demonstrates a tele-operated humanoid platform which shares autonomy with human operators. The semi-autonomous humanoid receives high-level commands, such as decision making, from human operators but controls low-level functions, such as balance, locomotion and manipulation for material handlings. The methodologies described in this dissertation are theoretically constructed and empirically tested and evaluated on a full-sized humanoid. Through the 2013 DARPA Robotics Challengehose installation and rough terrain walking challenges, humanoids' capabilities to function within a human-centered environment have demonstrated.
机译:在过去的几十年中,通过集成许多高级技术开发了类人动物。这些机器人旨在在以人为中心的环境中运行,例如家庭,办公室,医院和工厂。已经开发了前几代人形机器人以展示技术能力并吸引了广大公众,但对诸如医院患者护理,工厂和仓库的工业效率以及灾难恢复等实际用途的需求促使人们进行了研究,以寻求与人形机器人和人与人之间更牢固的交互作用。集中的环境。这种实际用途要求类人动物具有感知周围环境,操纵工具并在现实世界环境中导航的能力。此外,这些类人动物必须可靠,稳定并且适用于任意环境。但是,由于缺乏人工智能以及人形机器人中松散耦合子场的集成,如腿部行走,运动计划,力控制和操纵,阻碍了这些机器人在实际应用中的立即使用。与操作员共享自主权的平台。半自治人形机器人从人类操作员那里接收高层命令(例如决策),但控制底层功能(例如物料搬运的平衡,移动和操纵)。本文对所描述的方法进行了理论构建,并在全尺寸人形机器人上进行了经验测试和评估。通过2013 DARPA机器人挑战赛的安装和崎terrain的地形行走挑战,证明了类人动物在以人为中心的环境中运行的能力。

著录项

  • 作者

    Jun, Youngbum.;

  • 作者单位

    Drexel University.;

  • 授予单位 Drexel University.;
  • 学科 Engineering Robotics.;Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 174 p.
  • 总页数 174
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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