Dynamic robotic tracking of underwater targets using reinforcement learning

I Masmitja, M Martin, T O'Reilly, B Kieft, N Palomeras… - Science robotics, 2023 - science.org
To realize the potential of autonomous underwater robots that scale up our observational
capacity in the ocean, new techniques are needed. Fleets of autonomous robots could be …

[HTML][HTML] A systematic literature review of unmanned underwater vehicle-based structural health monitoring technologies

JF Waldner, A Sadhu - Journal of Infrastructure Intelligence and Resilience, 2024 - Elsevier
The structural health of underwater infrastructure such as bridges, dams, and pipelines are
constantly degrading due to aging, fatigue, unexpected loads, and environmental wear and …

Autonomous underwater vehicles: Instrumentation and measurements

PJB Sánchez, M Papaelias… - IEEE Instrumentation & …, 2020 - ieeexplore.ieee.org
Oceans exploration and inspection are a great challenge for the industry nowadays. The
underwater instrumentation and measurements are improving due to the current …

Hydrodynamic analysis-based modeling and experimental verification of a new water-jet thruster for an amphibious spherical robot

X Hou, S Guo, L Shi, H **ng, Y Liu, H Liu, Y Hu, D **a… - Sensors, 2019 - mdpi.com
Thrusters are the bottom actuators of the amphibious spherical robot, and play an important
role in the motion control of these robots. To realize accurate motion control, a thrust model …

[HTML][HTML] Dynamic analysis and path planning of a turtle-inspired amphibious spherical robot

L Zheng, Y Tang, S Guo, Y Ma, L Deng - Micromachines, 2022 - mdpi.com
A dynamic path-planning algorithm based on a general constrained optimization problem
(GCOP) model and a sequential quadratic programming (SQP) method with sensor input is …

Simulation-based semi-empirical comparative study of fixed and vectored thruster configurations for an underwater vehicle

J Kadiyam, S Mohan, D Deshmukh, T Seo - Ocean Engineering, 2021 - Elsevier
In the recent past, intervention-class autonomous underwater vehicles (AUVs) have gained
the ocean/marine research community's attention due to their multidisciplinary operational …

A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehicles

I Masmitja, M Martin, K Katija… - 2022 IEEE 18th …, 2022 - ieeexplore.ieee.org
Underwater target localization using range-only and single-beacon (ROSB) techniques with
autonomous vehicles has been used recently to improve the limitations of more complex …

Underwater Dynamic Tracking Control of AUV Based on Complex Environment Simulation and ACL-SAC Deep Reinforcement Learning

D Liang, J Chu, Y Cui, D Liang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The current underwater tracking control methods based on optical image priori data have
the problems of low reliability, high training cost, and poor adaptability to different …

[HTML][HTML] A CFD Study of the Hydrodynamic Characteristics of an Autonomous Underwater Helicopter

HP Vu, TL Le, TH Phung, TT Nguyen, THN Vuong… - Applied Sciences, 2024 - mdpi.com
A new autonomous underwater vehicle (AUV) has high maneuverability near the bottom and
a direction turnaround ability, called the autonomous underwater helicopter (AUH). This …

Control of a vectorial propulsion underwater vehicle considering thruster hydrodynamics constraints and actuator saturation

J Kadiyam, S Mohan… - Global Oceans 2020 …, 2020 - ieeexplore.ieee.org
Intervention-class autonomous underwater vehicles (AUVs) have to execute complex tasks
such as underwater inspection and manipulating objects which demand high …