Results 151 to 160 of about 1,264,534 (243)
Formation Control With Obstacle Avoidance of Underwater Swarms Based on Relative Visual Feedback
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
Dumpsite Seabed Characterization of the San Pedro Basin, CA, From Autonomous Vehicle Observations
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
Deep Reinforcement Learning-Based Path-Following Control for Underactuated Autonomous Underwater Vehicles. [PDF]
Pan X, Huang L, Li L, Wang S.
europepmc +1 more source
Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles. [PDF]
Havenstrøm ST, Rasheed A, San O.
europepmc +1 more source
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley +1 more source
Ubiquitous sensing of marine activities via the cooperation of autonomous underwater vehicles. [PDF]
Yan J +6 more
europepmc +1 more source
Virtual planar motion mechanism tests of the autonomous underwater vehicle autosub
Hydrodynamic derivatives are used to model the manoeuvring performance of proposed and existing hull forms. A simple robust method, using unsteady RANS simulations is presented to numerically replicate the experimental PMM tests performed on a scale ...
Turnock, S.R. +2 more
core
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
Digital twin-driven swarm of autonomous underwater vehicles for marine exploration. [PDF]
Yan J, Zhang T, Guan X, Yang X, Chen C.
europepmc +1 more source
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

