Results 71 to 80 of about 415 (215)
Vector Propulsion AUV Path Planning Method Based on Deep Reinforcement Learning
水下无人系统学报This study proposed a joint control method of “rudder + vector thruster” and utilized deep reinforcement learning technology to allocate the usage ratio of rudder and vector nozzle, enabling autonomous undersea vehicles(AUVs) to achieve enhanced path ...
Zhouqi PANG +3 more
doaj +1 more source
Findings from a Combined Subsea LiDAR and Multibeam Survey at Kingston Reef, Western Australia
Remote Sensing, 2020 Light Detection and Ranging (LiDAR), a comparatively new technology in the field of underwater surveying, has principally been used for taking precise measurement of undersea structures in the oil and gas industry.
Simon Collings +8 more
doaj +1 more source
The Rise of Human–Computer Integration in Marketing: A Theory Synthesis
Psychology &Marketing, Volume 43, Issue 6, Page 1343-1380, June 2026.ABSTRACT Human–computer integration (HCInt) technologies, which merge human bodily, cognitive, and sensory functions with computational processes, are reshaping the foundations of consumer experience. Unlike traditional human–computer interaction, HCInt entails adaptive and reciprocal coupling through AI‐driven augmentation, wearables, muscle–computer ...
Carlos Velasco +5 more
wiley +1 more source
Precision Control of Agile Underwater Vehicles [PDF]
, 2016 Precision control of underwater vehicles is complicated by the lack of accurate dynamic models, changing vehicle configurations (including mid-mission changes), and large environmental disturbances. Yet, close-proximity Autonomous Underwater Vehicle (AUV)
Horner, Douglas, Mqana, Mkuseli
core
Parameter Tuning Method of Active Disturbance Rejection Controller for AUVs Based on VRFT
水下无人系统学报Active disturbance rejection control(ADRC) is model-independent and exhibits strong robustness against disturbances, effectively addressing the uncertainties of autonomous undersea vehicle(AUV) models and complex external environments. However, parameter
Xiaodong HOU, Rui YANG, Ming LI
doaj +1 more source
Template‐Based Structured Electrodes for High Power and Durable Proton Exchange Membrane Fuel Cells
SusMat, Volume 6, Issue 3, June 2026.This article reviews advances in template‐based structured electrodes for proton exchange membrane fuel cells. The article discusses how engineered architectures improve mass and proton transport, membrane‐electrode interfaces, and catalyst utilization.
Yi Ren +3 more
wiley +1 more source
A New Collision Avoidance System for the Autosub6000 Autonomous Underwater Vehicle [PDF]
, 2009 The recently developed Autosub6000 Autonomous Underwater Vehicle (AUV) is the latest in the Autosub series of AUVs that have been built at the National Oceanography Centre, Southampton.
McPhail, Stephen D. +2 more
core
Error Compensation for Dead Reckoning Based on SVM
水下无人系统学报In the use of machine learning methods for error compensation in dead reckoning of an autonomous undersea vehicle(AUV), the neural network algorithm is commonly used.
Xin LI +6 more
doaj +1 more source
Geochemistry, Geophysics, Geosystems, Volume 27, Issue 6, June 2026.Abstract Monitoring data are critical for understanding volcanic unrest and eruption, but they often lack the ability to constrain the pre‐eruptive magma processes. As such, an increasing number of studies couple monitoring data with petrological tools to obtain insights into the causes and durations of magmatic processes. The 2018–2020 eruption of the
Karoline Brückel +8 more
wiley +1 more source
Marine Operations with the SWORDFISH Autonomous Surface Vehicle [PDF]
, 2007 IEEE Robótica 2007 - 7th Conference on Mobile Robots and Competitions, Paderne, Portugal 2007This paper describes the design and development of the Swordfish Autonomous Surface Vehicle (ASV) system.
Almeida, J. M. +7 more
core