Awareness of emerging situations in a dynamic operational environment of a robotic assistive device is an essential capability of such a cognitive system, based on its effective and efficient assessment of the prevailing situation. This allows the system to interact with the environment in a sensible (semi)autonomous / pro-active manner without the need for frequent interventions from a supervisor. In this paper, we report a novel generic Situation Assessment Architecture for robotic systems directly assisting humans as developed in the CORBYS project. This paper presents the overall architecture for situation assessment and its application in proof-of-concept Demonstrators as developed and validated within the CORBYS project. These include a robotic human follower and a mobile gait rehabilitation robotic system. We present an overview of the structure and functionality of the Situation Assessment Architecture for robotic systems with results and observations as collected from initial validation on the two CORBYS Demonstrators.


    Access

    Download


    Export, share and cite



    Title :

    Situation assessment through multi-modal sensing of dynamic environments to support cognitive robot control


    Contributors:

    Publication date :

    2014-01-01


    Remarks:

    Facta universitatis - series: Mechanical Engineering (2014) 12(3):251-260 ; ISSN: 0354-2025


    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    SITUATION ASSESSMENT THROUGH MULTI-MODAL SENSING OF DYNAMIC ENVIRONMENTS TO SUPPORT COGNITIVE ROBOT CONTROL

    Badii, Atta / Khan, Ali / Raval, Rajkumar et al. | BASE | 2014

    Free access

    Multi-modal robot

    FAN MENGLONG / LIANG BIN / LIU HOUDE et al. | European Patent Office | 2024

    Free access

    Multi-modal operation robot

    GUO TINGTING / XIAO HUI / LU SHUAI et al. | European Patent Office | 2024

    Free access

    Synchronized Multi-Modal Robot

    CHUNG SOON-JO | European Patent Office | 2021

    Free access

    MULTI-MODAL SENSING TRANSDUCERS

    LEE CHENG / LU CHEE | European Patent Office | 2018

    Free access