Autonomous exploration in unknown areas is a challenge for unmanned aerial vehicles when traditional ranging sensors such as LIDARs or cameras fail due to dust, fog, or lack of illumination. In these situations, contact-informed navigation is leveraged by utilizing the end-effector of an unmanned aerial manipulator (UAM) to detect and exploit obstacle contacts. This work presents a contact-informed online replanning algorithm that updates an obstacle-bounding region using online wrench estimates, enabling a UAM to navigate around an unknown convex polyhedral obstacle. The planner generates joint-space setpoints that guide the tool center point (TCP) to track a reference trajectory while ensuring the multirotor body avoids the obstacle-bounding region. Two simulation cases show that this approach prevents multirotor body collisions and ensures TCP trajectory tracking.


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    Titel :

    Contact-Informed Online Trajectory Replanning for Obstacle Avoidance in Unmanned Aerial Manipulators


    Beteiligte:


    Erscheinungsdatum :

    14.05.2025


    Format / Umfang :

    2307863 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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