Mathematical model and procedure based on hidden-Markov-model concept undergoing development for use in analysis and prediction of outputs of force and torque sensors of telerobotic manipulators. In model, overall task broken down into subgoals, and transition probabilities encode ease with which operator completes each subgoal. Process portion of model encodes task-sequence/subgoal structure, and probability-density functions for forces and torques associated with each state of manipulation encode sensor signals that one expects to observe at subgoal. Parameters of model constructed from engineering knowledge of task.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Hidden-Markov-Model Analysis Of Telemanipulator Data


    Contributors:

    Published in:

    Publication date :

    1991-10-01



    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English


    Keywords :


    Movable Cameras And Monitors For Viewing Telemanipulator

    Diner, Daniel B. / Venema, Steven C. | NTRS | 1993


    Active Compliance And Damping In Telemanipulator Control

    Kim, Won S. / Bejczy, Antal K. / Hannaford, Blake | NTRS | 1991


    Unsupervised scene analysis: A hidden Markov model approach

    Bicego, M. / Cristani, M. / Murino, V. | British Library Online Contents | 2006


    Hidden Markov Model-based population synthesis

    Saadi, Ismaïl | Online Contents | 2016


    Detection of hidden Markov model transient signals

    Chen, B. / Willett, P. | IEEE | 2000