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Bootstrapping the Dynamic Gait Controller of the Soft Robot Arm

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00367804" target="_blank" >RIV/68407700:21230/23:00367804 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/ICRA48891.2023.10160579" target="_blank" >https://doi.org/10.1109/ICRA48891.2023.10160579</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICRA48891.2023.10160579" target="_blank" >10.1109/ICRA48891.2023.10160579</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bootstrapping the Dynamic Gait Controller of the Soft Robot Arm

  • Original language description

    In this paper, we propose a novel dynamic gait controller for the repetitive behavior of soft robot manipulators performing routine tasks. Compliance with soft robots is advantageous when the robot interacts with living organisms and other fragile objects. However, predicting and controlling repetitive behavior is challenging because of hysteresis and non-linear dynamics governing the interactions. Existing priorfree methods track the dynamic state using recurrent neural networks or rely on known generalized coordinates describing the robot's state. We propose to model the interaction induced by the repetitive behavior as gait dynamics and represent the dynamic state with Central Pattern Generator (CPG) tracking the motion phase and thus reduce the complexity of the robot's forward model. The proposed method bootstraps an ensemble of the forward models exploring multiple dynamic contexts that are expanded as it searches for repetitive motion producing the target repetitive behavior. The proposed approach is experimentally validated on a pneumatically actuated soft robot arm I-Support, where the method infers gaits for different targets.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2023 IEEE International Conference on Robotics and Automation

  • ISBN

    979-8-3503-2365-8

  • ISSN

    1050-4729

  • e-ISSN

    2577-087X

  • Number of pages

    7

  • Pages from-to

    2669-2675

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Londýn

  • Event date

    May 29, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001036713002010