A review of the path planning and formation control for multiple autonomous underwater vehicles

B Hadi, A Khosravi, P Sarhadi - Journal of Intelligent & Robotic Systems, 2021 - Springer
Path planning and formation control are two of the most significant concepts which can be
considered in multi-vehicle systems and particularly in autonomous underwater vehicles …

Evolutionary computation for large-scale multi-objective optimization: A decade of progresses

WJ Hong, P Yang, K Tang - International Journal of Automation and …, 2021 - Springer
Large-scale multi-objective optimization problems (MOPs) that involve a large number of
decision variables, have emerged from many real-world applications. While evolutionary …

Deep reinforcement learning for adaptive path planning and control of an autonomous underwater vehicle

B Hadi, A Khosravi, P Sarhadi - Applied Ocean Research, 2022 - Elsevier
Research into intelligent motion planning methods has been driven by the growing
autonomy of autonomous underwater vehicles (AUV) in complex unknown environments …

HOPAV: Hybrid optimization‐oriented path planning for non‐connected and connected automated vehicles

A Babu, T Kavitha, RP de Prado… - IET Control Theory & …, 2023 - Wiley Online Library
Over the past ten years, autonomous driving has garnered a great deal of interest from both
the scientific community and business. Strong technological advancements have made …

Advances and future outlooks in soft robotics for minimally invasive marine biology

DF Gruber, RJ Wood - Science Robotics, 2022 - science.org
This Viewpoint describes interdisciplinary research that aims to maximize understanding of
deep marine life, while concurrently being minimally invasive. We describe the synthesis of …

A Review on Viewpoints and Path Planning for UAV-Based 3-D Reconstruction

M Maboudi, MR Homaei, S Song… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are widely used platforms to carry data capturing sensors
for various applications. The reason for this success can be found in many aspects: the high …

Automatic collision avoidance algorithm based on route-plan-guided artificial potential field method

Z Zhu, Y Yin, H Lyu - Ocean engineering, 2023 - Elsevier
With respect to navigation practices and real-ship applications, this study provided a stable
and reliable technical program for automatic ship navigation. First, an improved route-plan …

Learning efficient navigation in vortical flow fields

P Gunnarson, I Mandralis, G Novati… - Nature …, 2021 - nature.com
Efficient point-to-point navigation in the presence of a background flow field is important for
robotic applications such as ocean surveying. In such applications, robots may only have …

An optimization method for control parameters of underwater gliders considering energy consumption and motion accuracy

H Wu, W Niu, S Wang, S Yan - Applied Mathematical Modelling, 2021 - Elsevier
Energy consumption and motion accuracy are both important performance metrics for
underwater gliders, which are closely related to the glider control parameters values. For the …

Bio-inspired neural network-based optimal path planning for UUVs under the effect of ocean currents

D Zhu, SX Yang - IEEE Transactions on Intelligent Vehicles, 2021 - ieeexplore.ieee.org
To eliminate the effect of ocean currents when addressing the optimal path in the
underwater environment, an intelligent algorithm designed for the unmanned underwater …