The rapid technological development of computing power and system operations today
allows for increasingly advanced algorithm implementation, as well as path planning in real …

Artificial intelligence is an enabling technology for autonomous surface vehicles, with
methods such as evolutionary algorithms, artificial potential fields, fast marching methods …

The underwater path planning problem deals with finding an optimal or sub-optimal route
between an origin point and a termination point in marine environments. The underwater …

An autonomous underwater vehicle (AUV) is an economical and safe tool that is well-suited
for search, investigation, identification, and salvage operations on the sea floor. Path …

The high efficiency of obstacle detection system (ODS) is essential to obtain the high
performance of autonomous underwater vehicles (AUVs) carrying out a mission in a …

The adoption of a robust collision avoidance module is required to realise fully autonomous
Unmanned Surface Vehicles (USVs). In this work, collision detection and path planning …

This paper presents an efficient path-planner based on a hybrid optimization algorithm for
autonomous underwater vehicles (AUVs) operating in cluttered and uncertain environments …

Autonomous underwater vehicles (AUVs) have become attractive and essential for
underwater search and exploration because of the advantages they offer over manned …

We present the design and evaluation of an architecture for collision avoidance and escape
of mobile autonomous robots operating in unstructured environments. The approach mixes …

The operation of autonomous underwater vehicles (AUVs) relies on three major motions:
yaw, theta, and depth, each requiring its own set of proportional integral derivative (PID) …