Planning a feasible and flyable path for a micro air vehicle (MAV) operating in a dynamic and cluttered environment is a very canonical and challenging problem in the field of robotics. And there is a variety of exploration in this area. Closed-loop rapidly-exploring random tree (CL-RRT), as a typical randomized algorithm considering the dynamic constraints and instantaneity, has made key contributions to build a real-time planning framework. This paper builds upon these efforts and gives depth discussions on the implementation plans of CL-RRT based motion planning algorithm in a complex closed environment. Simulation examples involving a quadrotor are presented and discussed.


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    Title :

    Real-Time Motion Planning for Quadrotor MAVs in Three-dimensional Complex Environment


    Contributors:
    Zhu, Zhengda (author) / Cheng, Nong (author) / Li, Qing (author)


    Publication date :

    2018-08-01


    Size :

    1890272 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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