Recently, there has been growing interest in developing hybrid aerial vehicles (HAUV)
capable of operating in air and water and performing continuous and uninterrupted high …

With the rapid development of unmanned aerial and underwater vehicles, various tasks,
such as biodiversity monitoring, surveying, and mapping, as well as, search and rescue can …

This paper presents a novel deep reinforcement learning-based system for 3D mapless
navigation for Unmanned Aerial Vehicles (UAVs). Instead of using an image-based sensing …

In the last decade, a great effort has been employed in the study of Hybrid Unmanned Aerial
Underwater Vehicles, robots that can easily fly and dive into the water with different levels of …

Reinforcement Learning (RL) has presented an impressive performance in video games
through raw pixel imaging and continuous control tasks. However, RL performs poorly with …

Cross-view image matches have been widely explored on terrestrial image localization
using aerial images from drones or satellites. This study expands the cross-view image …

Previous works showed that Deep-RL can be applied to perform mapless navigation,
including the medium transition of Hybrid Unmanned Aerial Underwater Vehicles …

This article proposes a disturbance observer-based nonlinear control strategy for the
accurate takeoff and landing control of a novel hybrid aerial underwater vehicle, Nezha III …

This paper presents the experimental investigation of the hybrid unmanned aerial
underwater vehicle (HAUV) hydrodynamics during the water-air trans-media process. A …

Cross-domain vehicle (CDV) is able to navigate in different domains, having a wide range of
applications in military and civil fields. However, most of the existing CDVs have limited size …