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Development of the Robotic Touch foot Sensor for 2D walking Robot, for Studying Rough Terrain Locomotion.

机译:开发用于2D步行机器人的机器人触摸式脚部传感器,用于研究崎Terra地形的运动。

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摘要

Many researchers have been developing biped walking robots with excellent techniques and advanced technologies. However, ordinary locomotion is executed on even terrain such as flat surface. This means that many researches are focusing much on image processing, programing techniques and newly suggested devices, but not much research is being done on the proper sensors to robotic feet. Regarding robot gaits on unknown ground, one of the most significant determinations is to investigate balance by itself.;A new sensor was studied for the robotic foot in order to allow walking on rough ground by sensing variations in the pressure profile on the foot. The primary purpose of this study is to provide a proper foot sensor for Jaywalker. The Jaywalker has been developed by the Intelligent Systems and Automation Laboratory. Jaywalker provides a good platform for the study of rough terrain walking. The sensor to be developed for the robot must be applicable to every structure and flexible and able to impulsive forces, as well as having a reasonable manufacturing cost.;The main concept of this new type of sensor is to utilize the special application and design of inductive touch sensors. The Propeller microprocessor plays an important role in the control of the new sensor. The results of this study indicate that the new inductive sensor can be useful as a robotic foot sensor for the study of rough terrain walking.
机译:许多研究人员一直在开发具有出色技术和先进技术的两足动物步行机器人。然而,普通的运动是在平坦的地面上执行的。这意味着许多研究都集中在图像处理,编程技术和新近建议的设备上,但是对适合于机械脚的传感器的研究却很少。关于机器人在未知地面上的步态,最重要的决定之一就是自行研究平衡。研究了一种用于机器人脚的新型传感器,以通过感知脚上压力分布的变化而允许在崎ground的地面上行走。这项研究的主要目的是为Jaywalker提供合适的脚部传感器。 Jaywalker由智能系统和自动化实验室开发。 Jaywalker为研究崎terrain的地形行走提供了一个很好的平台。为机器人开发的传感器必须适用于每种结构,并且必须具有挠性并且能够承受脉冲力,并且具有合理的制造成本。这种新型传感器的主要概念是利用机器人的特殊应用和设计。感应式触摸传感器。螺旋桨微处理器在新传感器的控制中起着重要作用。这项研究的结果表明,新的电感式传感器可以用作机器人脚部传感器,用于研究崎terrain的地面行走。

著录项

  • 作者

    Lee, Hunwoo.;

  • 作者单位

    University of Kansas.;

  • 授予单位 University of Kansas.;
  • 学科 Engineering Mechanical.
  • 学位 M.S.
  • 年度 2012
  • 页码 64 p.
  • 总页数 64
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:42:57

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