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Controlling Robotic Manipulations via Bimanual Gesture Sequences

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F22%3A00364240" target="_blank" >RIV/68407700:21730/22:00364240 - isvavai.cz</a>

  • Result on the web

    <a href="http://behrens-jan.de/wp-content/uploads/Probabilistic_Gesture_Toolbox_ICRA_WS.pdf" target="_blank" >http://behrens-jan.de/wp-content/uploads/Probabilistic_Gesture_Toolbox_ICRA_WS.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Controlling Robotic Manipulations via Bimanual Gesture Sequences

  • Original language description

    Gestures are a natural part of human communication and improve its expressiveness. In human-robot interaction, gestures are often manually mapped to be a trigger for specifically designed operations. In this paper, we propose a probabilistic framework that enables to use a combination of static and dynamic gestures to describe a context-dependent parametrized robot action. The interactive specification of new gestures and their grounding to robot motions skills or a parameter (e.g., goal pose, speed, distance, etc.) is enabled via GUI. We demonstrate the proposed system in simulated block world experiments.

  • 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

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2022 International Conference on Robotics and Automation (ICRA)

  • ISBN

    978-1-7281-9681-7

  • ISSN

  • e-ISSN

    1050-4729

  • Number of pages

    2

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Philadelphia

  • Event date

    May 23, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article