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

• URL: http://arxiv.org/abs/2008.12950v1
• Date: Sat, 29 Aug 2020 09:55:49 GMT
• Title: Path Planning Followed by Kinodynamic Smoothing for Multirotor Aerial Vehicles (MAVs)
• Authors: Geesara Kulathunga, Dmitry Devitt, Roman Fedorenko, Sergei Savin and Alexandr Klimchik
• Abstract summary: We propose a geometrically based motion planning technique textquotedblleft RRT*textquotedblright; for this purpose. In the proposed technique, we modified original RRT* introducing an adaptive search space and a steering function. We have tested the proposed technique in various simulated environments.
• Score: 61.94975011711275
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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 \textquotedblleft RRT*\textquotedblright\; 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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