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Dynamic robotic tracking of underwater targets using reinforcement learning
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 …
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 …
constantly degrading due to aging, fatigue, unexpected loads, and environmental wear and …
Autonomous underwater vehicles: Instrumentation and measurements
Oceans exploration and inspection are a great challenge for the industry nowadays. The
underwater instrumentation and measurements are improving due to the current …
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
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 …
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 …
(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
In the recent past, intervention-class autonomous underwater vehicles (AUVs) have gained
the ocean/marine research community's attention due to their multidisciplinary operational …
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
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 …
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 …
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
A new autonomous underwater vehicle (AUV) has high maneuverability near the bottom and
a direction turnaround ability, called the autonomous underwater helicopter (AUH). This …
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
Intervention-class autonomous underwater vehicles (AUVs) have to execute complex tasks
such as underwater inspection and manipulating objects which demand high …
such as underwater inspection and manipulating objects which demand high …