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Hexapod Gait Control Through Internal Model Belief Update

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00372586" target="_blank" >RIV/68407700:21230/23:00372586 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.18910/92290" target="_blank" >https://doi.org/10.18910/92290</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.18910/92290" target="_blank" >10.18910/92290</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Hexapod Gait Control Through Internal Model Belief Update

  • Original language description

    Gait is a common locomotion strategy for legged ani-mals where a repetitive sequence of leg movements results in motion. Assuming the predictive coding theory, the agent continually represents its beliefs about the gait state in a state estimation [1]. In Internal Model (IM) principle, the state is predicted from efference copy by a Forward Model (FM) that can be further utilized for motor control [2]. However, in gait dynamics, the sensory state depends on the sequence of the previous motor commands, which makes the sensory- motor dynamics challenging to model.

  • 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

    Proceedings of The 11th International Symposium on Adaptive Motion of Animals and Machines

  • ISBN

  • ISSN

    2186-9510

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    107-108

  • Publisher name

    Kobe University

  • Place of publication

  • Event location

    Kyoto

  • Event date

    Jun 6, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article