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On autonomous spatial exploration with small hexapod walking robot using tracking camera intel RealSense T265

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00336165" target="_blank" >RIV/68407700:21230/19:00336165 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8870968" target="_blank" >https://ieeexplore.ieee.org/document/8870968</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ECMR.2019.8870968" target="_blank" >10.1109/ECMR.2019.8870968</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On autonomous spatial exploration with small hexapod walking robot using tracking camera intel RealSense T265

  • Original language description

    In this paper, we report on the deployment of the combination of commercially available off-the-shelf embedded visual localization system and RGB-D camera in an autonomous robotic exploration performed by small hexapod walking robot. Since the multi-legged walking robot is capable of traversing rough terrains, the addressed exploration problem is to create a map of an unknown environment while simultaneously performing the traversability assessment of the explored environment to efficiently and safely reach next navigational waypoints. The proposed system is targeted to run onboard of small multi-legged robots, and therefore, the system design is focused on computationally efficient approaches using relatively lightweight components. Therefore, we take advantages of the recently introduced tracking camera Intel RealSense T265 and RGB-D camera Intel RealSense D435 that are deployed to our developed autonomous hexapod walking robot that is equipped with adaptive locomotion control. Together with the proposed computationally efficient data representation and traversability assessment, the developed system supports onboard mapping and online decision-making within the exploration strategy even on a platform with low computational capabilities. Based on the reported experimental evaluation of the tracking camera, the developed system provides sufficiently accurate localization, and the robot has been able to explore indoor and outdoor environments fully autonomously.

  • 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

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2019 European Conference on Mobile Robots (ECMR)

  • ISBN

    978-1-7281-3605-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

    St. Paul, Minnesota

  • Event location

    Prague

  • Event date

    Aug 4, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article