Results 41 to 50 of about 1,295 (180)

An AUV Target-Tracking Method Combining Imitation Learning and Deep Reinforcement Learning

open access: yesJournal of Marine Science and Engineering, 2022
This study aims to solve the problem of sparse reward and local convergence when using a reinforcement learning algorithm as the controller of an AUV.
Yubing Mao   +3 more
doaj   +1 more source

Formation Control With Obstacle Avoidance of Underwater Swarms Based on Relative Visual Feedback

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Underwater multi‐robot and swarm systems require advanced methodologies for controlling collective behavior. Conventional single‐robot techniques, such as tethering, sonar imaging, and acoustic localization, are not scalable or effective for swarm applications.
Andrea Infanti   +7 more
wiley   +1 more source

Multi-Auv Distributed Task Allocation Based on the Differential Evolution Quantum Bee Colony Optimization Algorithm

open access: yesPolish Maritime Research, 2017
The multi-autonomous underwater vehicle (AUV) distributed task allocation model of a contract net, which introduces an equilibrium coefficient, has been established to solve the multi-AUV distributed task allocation problem.
Li Jianjun, Zhang Ru Bo
doaj   +1 more source

A Cooperative Hunting Method for Multi-AUV Swarm in Underwater Weak Information Environment with Obstacles

open access: yesJournal of Marine Science and Engineering, 2022
Cooperative hunting is a typical task that reflects the intelligence level of a swarm. For the complex underwater weak information environment with obstacles, a problem description of the multi-autonomous underwater vehicle (AUV) cooperative hunting task
Zhenyi Zhao   +4 more
doaj   +1 more source

Dumpsite Seabed Characterization of the San Pedro Basin, CA, From Autonomous Vehicle Observations

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT A wide‐area seabed survey was conducted using autonomous underwater vehicles (AUVs) in a known dumpsite off the coast of Southern California that has been found to have widespread sediment contamination from the chemical dichlorodiphenyltrichloroethane (DDT).
Ryan A. McCarthy   +4 more
wiley   +1 more source

A real-time obstacle avoidance method for multi-AUV cluster based on artificial potential field

open access: yesZhongguo Jianchuan Yanjiu, 2018
[Objectives] This paper proposes a real-time obstacle avoidance method based on artificial potential field,in order to cope with the many potential obstacles in complex underwater environment which affects the movement plan for multi-autonomous ...
XU Bo, ZHANG Jiao, WANG Chao
doaj   +1 more source

Design and Motion Performance Analysis of Turbulent AUV Measuring Platform

open access: yesSensors, 2022
The use of a multi-functional autonomous underwater vehicle (AUV) as a platform for making turbulence measurements in the ocean is developed. The layout optimization of the turbulence package and platform motion performance are limitation problems in ...
Yunli Nie   +4 more
doaj   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao   +10 more
wiley   +1 more source

Reliability Analysis of Multi-Autonomous Underwater Vehicle Cooperative Systems Based on Fuzzy Control

open access: yesPhotonics
Autonomous underwater vehicles (AUVs) perform a wide range of functions, since underwater circumstances are diverse and varied and resources are plentiful.
Yu Hao, Yuan Yao, Yanbo Zhang, Fang Zuo
doaj   +1 more source

Scalable low‐cost seabed landers: the missing link for sustained, integrated, long‐term observations in dynamic shallow seas

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Seabed landers, when equipped with a range of biotic and abiotic sensors, offer a non‐invasive and cost‐effective solution for ecosystem‐scale monitoring of Essential Biodiversity Variables (EBVs) and Essential Ocean Variables (EOVs) in dynamic shallow seas.
Arienne Calonge   +7 more
wiley   +1 more source

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