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 …

Deep reinforcement learning in continuous domains focuses on learning control policies that
map states to distributions over actions that ideally concentrate on the optimal choices in …

Abstract Purpose of Review Formation control is a canonical problem in multi-robot systems,
which focuses on the ability of a group of robots to travel in coordination through an area …

Autonomous robot swarm systems allow to address many inherent limitations of single robot
systems, such as scalability and reliability. As a consequence, these have found their way …

In this paper, the k-valued logic control network is introduced to study the cooperative pursuit
control problem of multiple underactuated underwater vehicles (UUVs) with time delay in …

Traditionally-designed, centralized or decentralized control architectures typically rely on the
availability of communication channels between neighboring robots as well as a known …

The multi-robot formation control is an essential issue in robotics. This review focuses on
important lines of research on current control issues and strategies on a group of unmanned …

High-performing human teams leverage intelligent and efficient communication and coordi-
nation strategies to collaboratively maximize their joint utility. Inspired by teaming behaviors …

In many scenarios, robots in a team are often required to collaborate on tasks to improve
efficiency. During this process, the whole robot team needs to build up to full formation, and …

In this paper, formation transformation and obstacle avoidance problems of agents passing
through complex environment are discussed. Firstly, the formation dynamic transformation is …