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 …

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

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 …

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 …

In order to solve the problem of limited-energy underwater robot AUV path planning, on the
premise that the underwater navigation environment and the direction of water flow are …

In this paper, a hybrid algorithm based on ant colony optimization (ACO) and genetic
algorithm (GA) is proposed for path planning of an autonomous underwater vehicle. The …

Classical autonomous underwater vehicle (AUV) path planning algorithms, such as artificial
potential field method and graph search algorithm, often result in the problems of easily …

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 …

Aiming at the problem of global static path planning in the submarine terrain environment of
autonomous underwater vehicle (AUV), A three-dimensional environment model was built …

Path planning is a classic optimization problem which can be solved by many optimization
algorithms. The complexity of three‐dimensional (3D) path planning for autonomous …