In some situations (e.g. transportation or cleaning tasks in a factory), humans, human-driven cars and autonomous robots can circulate on the same path and have to avoid each other. This is possible only if either behavior are foreseeable, using some implicit (highway code) or explicit (e.g. trafficator to indicate that one is about to turn) common rules. As human driving behavior is easily embedded into linguistic statements such as "if condition then decision", fuzzy logic is a natural way to build "intelligent" robot behavior. The paper is an approach to build a human-like navigation system for autonomous robots.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Human-robot coordination


    Contributors:


    Publication date :

    1997


    Size :

    5 Seiten, 22 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





    Exploring Coordination in Human-Robot Teams in Space

    Gervits, Felix / Warne, Charlotte / Downs, Harrison et al. | AIAA | 2017


    Can Real-time, Adaptive Human-Robot Motor Coordination Improve Humans’ Overall Perception of a Robot?

    Shen, Qiming / Dautenhahn, K. / Saunders, Joe et al. | BASE | 2015

    Free access

    Robot coordination in rescue missions

    Noto, Francesco / Serianni, Abdon / Palmieri, Nunzia | British Library Conference Proceedings | 2020