This paper reviews the state of the arts of the application of deep learning for autonomous navigation.

This paper proposes three deep learning model for inertial attitude estimation.

M. H. Sabour, A. Asgharpoor. This paper proposes a multi-agent formation control strategy using a receding horizon controller that utilizes a nonlinear cost function solved via the steepest descent interactive method. The objective is to reach the desired position while avoiding inter-agent collision and divergence of agents. The proposed controller is used to control non-holonomic kinematic agents in a behavioral structure. The control architecture combines the concept of prediction horizons defined in receding horizon control (model predictive control) with iterative learning controllers (ILC)....