In future work environments, robots will navigate and work side by side to humans. This raises big challenges related to the safety of these robots. In this Dissertation, three tasks have been realized: 1) implementing a localization and navigation system based on StarGazer sensor and Kalman filter; 2) realizing a human-robot interaction system using Kinect sensor and BPNN and SVM models to define the gestures and 3) a new collision avoidance system is realized. The system works on generating the collision-free paths based on the interaction between the human and the robot.


    Access

    Download

    Check availability in my library


    Export, share and cite



    Title :

    Secure indoor navigation and operation of mobile robots


    Contributors:

    Publication date :

    2017



    Type of media :

    Miscellaneous


    Type of material :

    Electronic Resource


    Language :

    English




    Autonomous Indoor Navigation for Mobile Robots

    Karthik Valliappan C / Vikram R | BASE | 2021

    Free access

    Improving the navigation of indoor mobile robots using Kalman filter

    Ghandour, Mazen / Liu, Hui / Stoll, Norbert et al. | IEEE | 2015


    Mobile Indoor Navigation

    Budnik, Ruslan | British Library Conference Proceedings | 2015


    Mobile Robots : Perception & Navigation

    Kolski, Sascha | TIBKAT | 2007

    Free access

    Mobile Robots : Perception & Navigation

    Kolski, Sascha | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2007

    Free access