The latest 5G mobile networks have enabled many exciting Internet of Things (IoT)
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …

Unmanned aerial vehicle (UAV) networks are playing an important role in various areas due
to their agility and versatility, which have attracted significant attentions from both the …

Autonomous/unmanned driving is the major state-of-the-art step that has a potential to
fundamentally transform the mobility of individuals and goods. At present, most of the …

Future ocean exploration will be dominated by a large-scale deployment of marine robots
such as unmanned surface vehicles (USVs). Without the involvement of human operators …

The paper presents a neural control system for a swarm of underwater vehicles. A swarm
consists of a leader vehicle and follower vehicles. The leader leads the swarm along a …

Multi-agent formation as well as obstacle avoid-ance is one of the most actively studied
topics in the field of multi-agent systems. Although some classic controllers like model …

In the past decade, reinforcement learning (RL) has achieved encouraging results in
autonomous driving, especially in well-structured and regulated highway environments …

This paper investigates the problem of multi-robot formation control strategies in
environments with obstacles based on deep reinforcement learning methods. To solve the …

The paper presents the application of neural networks evolving under the Hill Climb
Assembler Encoding (HCAE) algorithm to control follower autonomous underwater vehicles …

Highway is an important scenario for autonomous driving application because of its clear
rules and little social intervention. In this scenario, cooperative driving of the unmanned …