We explore path planning followed by kinodynamic smoothing while ensuring the vehicle dynamics feasibility for MAVs. We have chosen a geometrically based motion planning technique "RRT*" for this purpose. In the proposed technique, we modified original RRT* introducing an adaptive search space and a steering function which help to increase the consistency of the planner. Moreover, we propose multiple RRT* which generates a set of desired paths, provided that the optimal path is selected among them. Then, apply kinodynamic smoothing, which will result in dynamically feasible as well as obstacle-free path. Thereafter, a b spline-based trajectory is generated to maneuver vehicle autonomously in unknown environments. Finally, we have tested the proposed technique in various simulated environments.


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    Title :

    Path Planning Followed by Kinodynamic Smoothing for Multirotor Aerial Vehicles (MAVs)


    Contributors:


    Publication date :

    2020-12-03


    Size :

    2307433 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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