• DocumentCode
    2552347
  • Title

    Controlling telerobotic operations adaptive to quality of teleoperator and task dexterity

  • Author

    Jia, Yunyi ; Xi, Ning ; Wang, Fei ; Wang, Yunxia ; Li, Xin

  • Author_Institution
    Department of Electrical and Computer Engineering, Michigan State University, East Lansing, 48824 USA
  • fYear
    2011
  • fDate
    25-30 Sept. 2011
  • Firstpage
    184
  • Lastpage
    189
  • Abstract
    Telerobotic systems have been researched for decades due to their extensive applications in many civilian and military areas. Most research mainly focused on either the stability or telepresence of the telerobotic systems. Few studies have investigated the effects of the confidence of the teleoperator on the performance of the teleoperation. The confidence of the teleoperator is of significant importance to the efficiency and safety of the telerobotic systems. This paper proposes a concept named quality of teleoperator (QoT) to represent the confidence of the decisions and commands generated by the teleoperator. The value of QoT is computed based on a set of mental states of the teleoperator. Based on the QoT, a control adjustment mechanism is designed to enhance the efficiency and safety of the telerobotic systems. Experiments were implemented on a manipulator to demonstrate the effectiveness of the proposed method.
  • Keywords
    Biological neural networks; Robot sensing systems; Safety; Teleoperators; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-61284-454-1
  • Type

    conf

  • DOI
    10.1109/IROS.2011.6094964
  • Filename
    6094964