Three-dimensional path planning for underwater vehicles is an important problem that
focuses on optimizing the route with consideration of various constraints in a complex …

In order to solve the autonomous navigation problem of AUV, an improved ant colony
optimization algorithm is used to study the path planning problem of AUV in complex …

This paper uses a modified ant colony optimization (ACO) algorithm based on heuristic to
simulate the three-dimensional (3D) underwater route planning of unmanned underwater …

Path planning is a critical issue to ensure the safety and reliability of the autonomous
navigation system of the autonomous underwater vehicles (AUVs). Due to the nonlinearity …

Path planning is one of the key techniques of underwater vehicle's intelligent control system,
whose purpose is to find a collision-free path from the source position to the destination …

In order to solve the unmanned underwater vehicle two-dimensional autonomous path
planning problem in the environment affected by ocean current and obstacles, this paper …

The motion control of autonomous underwater vehicle (AUV) has got more and more
attention because AUV has been used in many applications in recent years. In order to find …

Path planning is an important issue for autonomous underwater vehicles (AUVs) traversing
an unknown environment such as a sea floor, a jungle, or the outer celestial planets. For this …

The increase application of machine learning and artificial intelligence in the field of
robotics, have emerged the need for real time algorithms for autonomous unmanned aircraft …

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 …