Shape-sensing in real-time is a key requirement for the development of advanced algorithms for concentric tube continuum robots when safe interaction with the environment is important e.g., for path planning, advanced control, and human-machine interaction. We propose a real-time shape-estimation algorithm for concentric tube continuum robots based on the force-torque information measured at the tubes' basis. It extends a shape estimation algorithm for elastic rods based on discrete Kirchhoff rod theory. For simplicity and efficiency of calculation, we combine it with a model under piece-wise constant curvature assumption, in which we model a concentric tube continuum robot as a combination of segments of planar constant curvatures lying on different equilibrium planes. We evaluate our approach for a single and two combined additively manufactured tubes and achieve an estimation frequency of 333 Hz for two combined tubes with a mean deviation along the backbone of the tubes of 1.91-5.22 mm.


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    Titel :

    Real-Time Shape Estimation for Concentric Tube Continuum Robots with a Single Force/Torque Sensor


    Beteiligte:
    Donat, Heiko (Autor:in) / Gu, Jiecong (Autor:in) / Steil, Jochen (Autor:in)

    Erscheinungsdatum :

    2021-10-04


    Anmerkungen:

    Frontiers in robotics and AI 8 (2021) 734033. - doi:10.3389/frobt.2021.734033 -- Front Robot AI -- http://www.bibliothek.uni-regensburg.de/ezeit/?2781824 -- http://www.frontiersin.org/Robotics_and_AI -- https://www.ncbi.nlm.nih.gov/pmc/journals/3976/ -- 2296-9144 -- 2296-9144



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    0 / 004 / 6 / 62 / 629




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