Since unmanned aerial vehicles (UAVs) were introduced, their teleoperation was and still is a challenging task. Significant research was conducted in order to facilitate and improve UAVs maneuverability, and yet many accidents are attributed to human error. Remote controls (RCs) are commonly used to control UAVs, but with their constant scale for inputs, RCs do not suit all users and require significant training. In this paper we are addressing this issue, where adaptive gain tuning is used to map the masters' inputs (RC inputs) to the slave (UAV) motions in order to enhance the pilot's performance regardless of the level of experience. Experimental results show a significant improvement when adaptive gain tuning is employed.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Adaptive gain tuning for teleoperation of quadrotors


    Contributors:


    Publication date :

    2016-11-01


    Size :

    568231 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Robust and Adaptive State Estimation of UAV Quadrotors with a High Gain Approach

    Dimassi, Habib / Miladi, Nadia / Said, Salim Hadj et al. | Springer Verlag | 2020



    Adaptive Formation Control of Multi-Quadrotors Cooperative Transportation

    Chen, Xinyu / Fan, Yunsheng / Wang, Guofeng et al. | IEEE | 2024

    Free access

    Gain-Scheduling Tracking Control for Quadrotors Under Ground Effects via NTSMC-sLPV

    Zhang, Lixian / Gao, Tianyu / Lin, Zefeng et al. | IEEE | 2025


    AI-based Adaptive Nonlinear MPC for Quadrotors

    Zhang, L. / Huang, S. / Xiang, C. et al. | IEEE | 2024