The future of robotics predicts that robots will integrate themselves more every day with human beings and their environments. To achieve this integration, robots need to acquire information about the environment and its objects. There is a big need for algorithms to provide robots with these sort of skills, from the location where objects are needed to accomplish a task up to where these objects are considered as information about the environment. This paper presents a way to provide mobile robots with the ability-skill to detect objets for semantic navigation. This paper aims to use current trends in robotics and at the same time, that can be exported to other platforms. Two methods to detect objects are proposed, contour detection and a descriptor based technique, and both of them are combined to overcome their respective limitations. Finally, the code is tested on a real robot, to prove its accuracy and efficiency. ; The research leading to these results has received funding from the ARCADIA project DPI2010-21047-C02-01, funded by CICYT project grant on behalf of Spanish Ministry of Economy and Competitiveness and from the RoboCity2030-II project (S2009/DPI-1559), funded by Programas de Actividades I+D en la Comunidad de Madrid and cofunded by Structural Funds of the EU.


    Access

    Download


    Export, share and cite



    Title :

    Object Detection Techniques Applied on Mobile Robot Semantic Navigation



    Publication date :

    2014-04-11


    Remarks:

    AR/0000015250



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




    Hybrid Object Detection Vision-Based Applied on Mobile Robot Navigation

    Velasquez-Aguilar, J. G. / Granados-Contreras, M. / Ramirez-Agundis, A. et al. | IEEE | 2015


    Object detection applied to indoor environments for mobile robot navigation

    Hernández Silva, Alejandra Carolina / Gómez Blázquez, Clara / Crespo Herrero, Jonathan et al. | BASE | 2016

    Free access

    Object learning and detection using evolutionary deformable models for mobile robot navigation

    Mata, M. / Armingol Moreno, José María / Fernández, J. et al. | BASE | 2007

    Free access


    Semantic information for robot navigation: a survey

    Crespo Herrero, Jonathan / Castillo Montoya, José Carlos / Martínez Mozos, Óscar et al. | BASE | 2020

    Free access