Currently, the increasing number of daily flights emphasizes the importance of air
transportation. Furthermore, Air Traffic Management (ATM) enables air carriers to operate …

The popularization of unmanned aerial vehicles (UAVs) has boosted various civil
applications such as traffic monitoring, in which the effective coordination of the UAV swarm …

This study aims to solve the problem of sparse reward and local convergence when using a
reinforcement learning algorithm as the controller of an AUV. Based on the generative …

Although the issue of sparse expert samples at the early stage of training in inverse
reinforcement learning (IRL) is successfully resolved by the introduction of generative …

As the demand for hydrogen fuel increases with the rise of fuel-cell electric vehicles
(FCEVs), the energy management of hydrogen refueling stations (HRSs) is crucial for …

With the escalating complexity of surface operations at large airports, the conflict risk for
aircraft taxiing has correspondingly increased. Usually, the Air Traffic Controllers (ATCOs) …

In this work, we introduce DeepIPC, a novel end-to-end model tailored for autonomous
driving, which seamlessly integrates perception and control tasks. Unlike traditional models …

In this paper, the problem of time-varying aerodynamic parameters identification under
measurement noises is studied. By analyzing the key aerodynamic parameters that affect …

This study proposes an autonomous aircraft taxi agent that can be used to recommend the
pilot the optimal speed profile to achieve optimal fuel burn and to arrive on time at the target …

The conception of robots able to navigate autonomously through several environments
remains one of the main challenges to be overcome in the robotics research. The wide use …