The field of automatic collision avoidance for surface vessels has been an active field of
research in recent years, aiming for the decision support of officers in conventional vessels …

This paper proposes a novel model predictive control (MPC) algorithm that increases the
path tracking performance according to the control input. The proposed algorithm reduces …

Purpose-The purpose of this paper is to develop a real-time trajectory planner with optimal
maneuver for autonomous vehicles to deal with dynamic obstacles during parallel parking …

Explaining what a reinforcement learning (RL) control agent learns play a crucial role in the
safety critical control domain. Most of the approaches in the state-of-the-art focused on …

In this paper, the problem of a fully actuated hexarotor performing a physical interaction with
the environment through a rigidly attached tool is considered. A nonlinear model predictive …

This paper deals with the optimization of the crossbars, parts of the existing frame of the
experimental system of the Alternative SkidCar. This part plays a crucial role and is …

We present a novel approach for achieving high-precision trajectory tracking control in an
unmanned surface vehicle (USV) through utilization of receding horizon reinforcement …

Motion planners for autonomous driving improve traffic safety through collision-free motion
generation along the path. However, conventional motion planners render passengers …

The design of trajectory tracking controllers for smart driving cars still faces problems, such
as uncertain parameters and it being time-consuming. To improve the tracking performance …

This paper addresses trajectory planning for overtaking maneuvers in a dynamic, two-way,
two-lane environment. The proposed novel five-stage planning algorithm comprises initial …