Deep reinforcement learning has produced many success stories in recent years. Some
example fields in which these successes have taken place include mathematics, games …

Autonomous marine vehicles (AMVs) have received considerable attention in the past few
decades, mainly because they play essential roles in broad marine applications such as …

The collective behaviors of animals, from schooling fish to packing wolves and flocking
birds, display plenty of fascinating phenomena that result from simple interaction rules …

Autonomous navigation and positioning are key to the successful performance of unmanned
underwater vehicles (UUVs) in environmental monitoring, oceanographic mapping, and …

Abstract Underwater Robots such as Autonomous Underwater Vehicles (AUVs) and
Remotely Operated Vehicles (ROVs) has played an important role in many tasks, such as …

Aiming at the k-winners-take-all (kWTA) operation, this paper proposes a gradient-based
differential kWTA (GD-kWTA) network. After obtaining the network, theorems and related …

Accurate estimation of water quality is significant for ocean resource development. The
autonomous discovery and intensive sampling of high chlorophyll-a concentration area is …

The traditional propeller-based propulsion of underwater robots is inefficient and poorly
adapted to practice. By contrast, underwater biomimetic robots show better stability and …

Underwater robot technology has shown impressive results in applications such as
underwater resource detection. For underwater applications that require extremely high …

This paper proposes a cooperative online target detection methodology by multiple
autonomous underwater vehicles (Multi-AUV) equipped with the side-scan sonar (SSS) …