Learning by Cheating
End-to-End Framework for Autonomous Drone Navigation
Members: Praveen Venkatesh, Viraj Shah*, Vrutik Shah*, Yash Kamble*
This paper proposes a novel framework for autonomous drone navigation through a cluttered environment. Control policies are learnt in a low-level environment during training and are applied to a complex environment during inference. The controller learnt in the training environment is tricked into believing that the robot is still in the training environment when it is actually navigating in a more complex environment.
