Results 111 to 120 of about 4,866,384 (247)

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

Journal 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, Saverio Iacoponi, Saif Alameri, Mohamed El Hanbaly, Mohammed Tarnini, Cesare Stefanini, Giulia De Masi, Federico Renda   +7 more
wiley   +1 more source

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

Journal 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, Dylan Kriegman, Sophia T. Merrifield, Heidi Batchelor, Eric J. Terrill   +4 more
wiley   +1 more source

A scheme to analyze the influence of ocean sound propagation on passive sonar target classification and recognition

AIP Advances
The time-varying, space-varying, and frequency-varying characteristics of the marine environment severely affect the classification and recognition of underwater passive sonar targets.
Chunyu Kang, Liufang Fu, Zhijun Xia, Linzhou Xu, Yi Zhang   +4 more
doaj   +1 more source

An Underwater Target Recognition Method Based on Feature Fusion and Balanced Ensemble Transfer Learning

Journal of Marine Science and Engineering
In underwater target recognition scenarios, challenges arise as a result of the limited representational capability of acoustic images with single time-frequency features and poor recognition performance due to class imbalances in sample numbers.
Haoqian Zhang, Hong Liang, Linfeng Zhu, Wenbo Gou   +3 more
doaj   +1 more source

UAPT: an underwater acoustic target recognition method based on pre-trained Transformer

Multimedia Systems
Abstract The Convolutional Neural Network (CNN) model in underwater acoustic target recognition (UATR) research reveals limitations arising from its inability to capture long-distance dependencies, impeding its capacity to focus on global information within the underwater acoustic signal.
Jun Tang 0012, Enxue Ma, Yang Qu, Wenbo Gao, Yuchen Zhang, Lin Gan 0003   +5 more
openaire   +2 more sources

Robotic Operating System talks underwater: a communication framework to control underwater vehicles [PDF]

openThe Robot Operating System is a set of software libraries and tools for building standardized format robot applications in C++ and python. This project aims to build a middleware module allowing to communicate through an underwater acoustic channel ...
COSTA, DAVIDE
core  

Biomimetic robots driven by smart materials: Motion forms, stimulation methods and applications

Responsive Materials, EarlyView.
Biomimetic robots enhance adaptability by mimicking biological systems, but rigid materials limit performance. Smart materials with stimuli responsiveness and shape adaptability enable more flexible actuation and improved environmental interaction.
Zeyu Yang, Yehong Peng, Shibo Xue, Yujiang Zhuang, Xiang Gong, Guiwei Li, Lei Ren, Wenzheng Wu, Luquan Ren   +8 more
wiley   +1 more source

Multi‐Platform Deployments of Low‐Cost Devices for Cetacean Passive Acoustic Monitoring

Remote Sensing in Ecology and Conservation, EarlyView.
Recent advances in affordable, user‐friendly devices offer new opportunities to overcome cost constraints of underwater passive acoustic monitoring (PAM) and expand acoustic data collection. In this study, we deployed low‐cost acoustic recorders and underwater cameras across a range of platforms in the Western Mediterranean, including fishing gear ...
Greta Jankauskaite, François Poisson, Irati Abascal, Javier Menéndez‐Blázquez, Clara Cánovas Pérez, Sofia Conti, Ricardo Sagarminaga, Juan Antonio Raga, David March   +8 more
wiley   +1 more source

Spectral Denoising and Line Spectrum Extraction for Low-Frequency Underwater Acoustic Signals

Applied Sciences
In Underwater Acoustic Target Recognition (UATR), accurately extracting spectral lines from time–frequency spectra in complex ocean environments faces three critical challenges: low-frequency spectral confusion, line spectrum and noise mixture, and a ...
Rui Xiang, Jie Yang, Ke Wang, Tianxiang He, Jinsong Xia, Junlin Zhou, Yan Fu, Duanbing Chen   +7 more
doaj   +1 more source

Widespread Bomb Fishing in Indo‐Pacific Archipelago Revealed Through Machine Learning Accelerated Passive Acoustic Monitoring

Remote Sensing in Ecology and Conservation, EarlyView.
AI‐accelerated passive acoustic monitoring reveals extensive bomb fishing within the Spermonde Archipelago, with annual incidents numbering in the thousands. ABSTRACT Bomb fishing is recognised as the most destructive fishing practice that can be performed in our oceans.
Ben Williams, Mars Coral Restoration Project Monitoring Team, Aimee du Luart, Sonny Burniston, Tries B. Razak, Timothy A. C. Lamont, David J. Smith, Jamaluddin Jompa, David Curnick, Kate E. Jones   +9 more
wiley   +1 more source