Area coverage is an important problem in robotics applications, which has been widely used in search and rescue, offshore industrial inspection, and smart agriculture. This paper demonstrates a novel unified robust path planning, optimal trajectory generation, and control architecture for a quadrotor coverage mission. To achieve safe navigation in uncertain working environments containing obstacles, the proposed algorithm applies a modified probabilistic roadmap to generating a connected search graph considering the risk of collision with the obstacles. Furthermore, a recursive node and link generation scheme determines a more efficient search graph without extra complexity to reduce the computational burden during the planning procedure. An optimal three-dimensional trajectory generation is then suggested to connect the optimal discrete path generated by the planning algorithm, and the robust control policy is designed based on the cascade $NLH_{\infty} $ framework. The integrated framework is capable of compensating for the effects of uncertainties and disturbances while accomplishing the area coverage mission. The feasibility, robustness and performance of the proposed framework are evaluated through Monte Carlo simulations, PX4 Software-In-the-Loop test facility, and real-world experiments.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Unified Robust Path Planning and Optimal Trajectory Generation for Efficient 3D Area Coverage of Quadrotor UAVs


    Beteiligte:
    Rekabi-Bana, Fatemeh (Autor:in) / Hu, Junyan (Autor:in) / Krajnik, Tomas (Autor:in) / Arvin, Farshad (Autor:in)


    Erscheinungsdatum :

    01.03.2024


    Format / Umfang :

    12153619 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Path Planning Using Concatenated Analytically-Defined Trajectories for Quadrotor UAVs

    Jamieson, Jonathan / BIGGS, JAMES DOUGLAS | BASE | 2015

    Freier Zugriff

    Optimal Energy-Efficient Trajectory Planning for Multirotor UAVs

    Chebl, Bernard / Saied, Majd / Shraim, Hassan et al. | IEEE | 2025


    Collision-free path planning based on a genetic algorithm for quadrotor UAVs

    Gutierrez-Martinez, M. A. / Rojo-Rodriguez, E. G. / Cabriales-Ramirez, L. E. et al. | IEEE | 2020


    Path Planning, Trajectory Tracking and Guidance for UAVs

    GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2025

    Freier Zugriff