In this project, we aim to develop Quadcopter system for autonomous navigation and control in dense environments.
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Learning and implementation of planning algorithms (A*, RRT) to autonomously navigate between multiple waypoints in 2D space.
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Generating trajectories between multiple waypoints in 3D space using planning algorithms.
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Extending the implementation on a drone by planning collision-free dynamically feasible trajectories between obstacles.
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Estimating states of drone using sensors and GPS data and applying controls.
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End to end simulation in Gazebo.
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References