• DocumentCode
    292384
  • Title

    Evaluation of human control in telerobotics by means of EMG

  • Author

    Rovetta, A. ; Cosmi, F. ; Tosatti, L. Molinari ; Termite, L.

  • Author_Institution
    Dipartimento di Meccanica, Politecnico di Milano, Italy
  • Volume
    1
  • fYear
    1994
  • fDate
    12-16 Sep 1994
  • Firstpage
    268
  • Abstract
    This paper analyses human control performance by means of a telemanipulation system and measurements of muscular activity during teleoperations. The task is performed with the aid of different types of interfaces. The control loop of a telerobotic manipulation system includes the human motion program. The control strategy for human motion is closely dependent on the type of interface available, that is, on the way the performance knowledge is presented to the operator. The analysis here proposed concerns the sensory and logical evaluation of this dependence in a telerobotic application, by means of EMG signal acquisition during teleoperations both in real and virtual environments. The experiments have been performed with a new paradigm for the evaluation of human feedback during the telemanipulation performance of a touch task. The paradigm adopted in this research is the result of the integration of robotics and neurology
  • Keywords
    electromyography; feedback; telerobotics; EMG signal acquisition; human control; human feedback; muscular activity measurements; neurology; robotics; telerobotic manipulation system; telerobotics; Control system analysis; Control systems; Electromyography; Humans; Motion control; Performance analysis; Performance evaluation; Signal analysis; Telerobotics; Virtual environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems '94. 'Advanced Robotic Systems and the Real World', IROS '94. Proceedings of the IEEE/RSJ/GI International Conference on
  • Conference_Location
    Munich
  • Print_ISBN
    0-7803-1933-8
  • Type

    conf

  • DOI
    10.1109/IROS.1994.407381
  • Filename
    407381