Aiming at path planning and collision avoidance of multiple autonomous underwater vehicle
(AUV) system under complex environment, an improved neural network algorithm based on …

The aim of this paper is to improve the rapid obstacle avoidance control of UAVs cluster in a
complex obstacle environment, primarily utilizing the finite-time consistent formation control …

One approach to designing an optimal real-time collision-free trajectory for autonomous
underwater vehicles (AUVs) that move in a 3D unknown underwater space presented here …

This study focuses on addressing the waypoints-based path-following problem of an
autonomous underwater vehicle (AUV) within multiple static and moving obstacles …

In view of the formation control of leader-follower swarm and obstacle avoidance in artificial
potential field method in unmanned aerial vehicle (UAV) swarm formation system under …

According to its planning scope, path planning for unmanned surface vehicle (USV) can be
divided into global and local path planning. Many scholars have improved the classic …

In order to solve path planning problem for autonomous underwater vehicle (AUV) in the
spatial space, a new method based on Octree model and improved ant colony algorithm is …

Aiming at the problem of path planning for multiple unmanned aerial vehicles (UAVs) in
complex obstacle environ-ment, a new algorithm for obstacle avoidance and collision …

In this paper, a method of multi UAV cluster control based on improved artificial potential
field (APF) is proposed. The k-means method is used to integrate and optimize the attractive …

This paper proposes a fusion algorithm based on state-tracking collision detection and the
simulated annealing potential field (SCD-SAPF) to address the challenges of obstacle …