This paper focuses on a critical component of the situational awareness (SA), the neural control of autonomous constant depth flight of an autonomous underwater vehicle (AUV). Autonomous constant depth flight is a challenging but important task for AUVs to achieve high level of autonomy under adverse conditions. The fundamental requirement for constant depth flight is the knowledge of the depth...

Purpose – The main purpose of this paper is to investigate two key elements of localization and mapping of Autonomous Underwater Vehicle (AUV), i.e. to overview various sensors and algorithms used for underwater localization and mapping, and to make suggestions for future research. Design/methodology/approach – The authors first review various sensors and algorithms used for AUVs in the terms o...

The issue of limited energy resources is crucial for underwater wireless sensor networks (UWSNs) because these operate in remote and harsh environments where access to power sources limited. Overcoming the constraints necessary ensure long-term functionality sustainability UWSN, enabling continuous data collection communication various applications such as environmental monitoring surveillance....

Human intelligence has the advantage for making high-level decisions in remote control of underwater vehicles, while autonomous is superior accurate and fast close-range pose adjustment. Combining advantages both control, this paper proposes a visual-aided shared-control method semi-autonomous vehicle (sAUV) to conduct flexible, efficient stable grasping. The proposed utilizes an arbitration me...