Reinforcement Learning for Autonomous Underwater Vehicles via Data-Informed Domain Randomization
Applied Sciences, 2023 Autonomous Underwater Vehicles (AUVs) or underwater vehicle-manipulator systems often have large model uncertainties from degenerated or damaged thrusters, varying payloads, disturbances from currents, etc. Other constraints, such as input dead zones and
Wenjie Lu, Kai Cheng, Manman Hu
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Acoustic positioning and tracking in Portsmouth Harbour, New Hampshire [PDF]
, 2007 Portsmouth Harbor, New Hampshire, is frequently used as a testing area for multibeam and sidescan sonars, and is the location of numerous ground-truthing studies. Having the ability to accurately position underwater sensors is an important aspect of this
Huff, Lloyd C +5 more
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Optimizing Underwater Game Strategy Based on Cooperative Confrontation
Xibei Gongye Daxue Xuebao, 2019 Based on the multi-round confrontation of multiple Autonomous Underwater Vehicles (AUVS), the concept of Nash equilibrium is used to solve the problem of underwater dynamic cooperative confrontation of multiple AUVs. From the perspective of confrontation
doaj +1 more source
A Multi-Source-Data-Assisted AUV for Path Cruising: An Energy-Efficient DDPG Approach
Remote Sensing, 2023 As marine activities expand, deploying underwater autonomous vehicles (AUVs) becomes critical. Efficiently navigating these AUVs through intricate underwater terrains is vital.
Tianyu Xing +4 more
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Improving the energy efficiency of autonomous underwater vehicles by learning to model disturbances [PDF]
, 2013 Energy efficiency is one of the main challenges for long-term autonomy of AUVs (Autonomous Underwater Vehicles). We propose a novel approach for improving the energy efficiency of AUV controllers based on the ability to learn which external disturbances ...
Caldwell, DG, Kormushev, P
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Navigation Control and Signal Processing Methods for Multiple Autonomous Unmanned Systems
Applied SciencesAutonomous underwater vehicles (AUVs) have been widely deployed in numerous underwater applications, such as biological monitoring, oceanographic surveys, and military underwater surveillance [...]
Haoqian Huang, Bing Wang, Yuan Yang
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Multi-AUV Control Method Based on Inverse Optimal Control of Integrated Obstacle Avoidance Algorithm
Applied Sciences, 2023 Under complex underwater conditions, multiple AUVs work in one area and they need to cooperate for complicated missions. In this study, a design method was applied for multiple autonomous underwater vehicles (AUVs) that are distributed in an area and ...
Gang Shao, Lei Wan, Huixi Xu
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Experimental Verification of a Depth Controller using Model Predictive Control with Constraints onboard a Thruster Actuated AUV [PDF]
, 2012 In this work a depth and pitch controller for an autonomous underwater vehicle (AUV) is developed. This controller uses the model predictive control method to manoeuvre the vehicle whilst operating within the defined constraints of the AUV actuators ...
Furlong, M. +4 more
core +1 more source
, 2018 Autonomous underwater vehicles (AUVs) are being tasked with increasingly complex missions. The acoustic communications required for AUVs are, by the nature of the medium, low bandwidth while adverse environmental conditions underwater often mean they are
Garcia, Francisco J. Chiyah +8 more
core +1 more source
Optimal path shape for range-only underwater target localization using a Wave Glider [PDF]
, 2018 Underwater localization using acoustic signals is one of the main components in a navigation system for an autonomous underwater vehicle (AUV) as a more accurate alternative to dead-reckoning techniques.
Aguzzi, Jacopo +6 more
core +2 more sources