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A Target Grabbing Strategy for Telerobot Based on Improved Stiffness Display Device

机译:基于改进刚度显示装置的远程机器人目标抢夺策略

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摘要

Most target grabbing problems have been dealt with by computer vision system, however, computer vision method is not always enough when it comes to the precision contact grabbing problems during the teleoperation process, and need to be combined with the stiffness display to provide more effective information to the operator on the remote side. Therefore, in this paper a more portable stiffness display device with a small volume and extended function is developed based on our previous work. A new static load calibration of the improved stiffness display device is performed to detect its accuracy, and the relationship between the stiffness and the position is given. An effective target grabbing strategy is presented to help operator on the remote side to judge and control and the target is classified by multi-class SVM(supporter vector machine). The teleoperation system is established to test and verify the feasibility. A special experiment is designed and the results demonstrate that the improved stiffness display device could greatly help operator on the remote side control the telerobot to grab target and the target grabbing strategy is effective.
机译:大多数目标捕捉问题已由计算机视觉系统处理,但是,在远程操作过程中,计算机视觉方法在涉及精确接触捕捉问题时并不总是足够的,需要与刚度显示结合以提供更有效的信息给远程操作员。因此,在本文的基础上,我们开发了一种体积更小,功能更强大的便携式刚度显示装置。对改进的刚度显示设备进行新的静态载荷校准,以检测其准确性,并给出刚度和位置之间的关系。提出了一种有效的目标捕获策略,以帮助远程操作员进行判断和控制,并通过多类支持向量机(SVM)对目标进行分类。建立了远程操作系统以测试和验证可行性。设计了一个特殊的实验,结果表明改进的刚度显示装置可以极大地帮助远程操作者控制遥控机器人抓取目标,并且该目标抓取策略是有效的。

著录项

  • 来源
    《自动化学报:英文版》 |2017年第004期|P.661-667|共7页
  • 作者单位

    School of Information Engineering, Nanchang University;

    School of Instrumentation Science and Engineering, Southeast University;

    IEEE;

    School of Instrumentation Science and Engineering,Southeast University;

    Department of Systems and Computer Engineering,Carleton University;

    Computer Integrated Surgical Systems and Technology Engineering Research Center (CISST ERC), Johns Hopkins University;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 CHI
  • 中图分类
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  • 入库时间 2022-08-18 09:12:15
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