Results 31 to 40 of about 1,858 (201)

Energy-Efficient Routing for Cooperative Multi-AUV System

open access: yesIFAC-PapersOnLine, 2022
Underwater robots, also known as autonomous underwater vehicles (AUVs), are amazing machines that are becoming increasingly important in a variety of disciplines, including sea environment exploration, data collection (for climate change), industry, and the military.
Kaiser, M Shamim   +3 more
openaire   +2 more sources

Coordinated Formation Control of Discrete-Time Autonomous Underwater Vehicles under Alterable Communication Topology with Time-Varying Delay

open access: yesJournal of Marine Science and Engineering, 2022
This paper is concerned with the coordinated formation control problem of multiple autonomous underwater vehicles (AUVs) under alterable communication topology and time-varying delay in discrete time domain.
Haomiao Yu, Zhenfang Zeng, Chen Guo
doaj   +1 more source

Sensor enclosures: example application and implications for data coherence [PDF]

open access: yes, 2013
Sensors deployed in natural environments, such as rivers, beaches and glaciers, experience large forces and damaging environmental conditions. Sensors need to be robust, securely operate for extended time periods and be readily relocated and serviced ...
Akyildiz   +9 more
core   +4 more sources

Multi-AUV Control and Adaptive Sampling in Monterey Bay

open access: yesIEEE Journal of Oceanic Engineering, 2004
Multi-AUV operations have much to offer a variety of underwater applications. With sensors to measure the environment and coordination that is appropriate to critical spatial and temporal scales, the group can perform important tasks such as adaptive ocean sampling. We describe a methodology for cooperative control of multiple vehicles based on virtual
Fiorelli, E.   +5 more
openaire   +3 more sources

Multi-AUV Formation Predictive Control Based on CNN-LSTM under Communication Constraints

open access: yesJournal of Marine Science and Engineering, 2023
For the problem of hydroacoustic communication constraints in multi-AUV leader follower formation, this paper designs a formation control method combining CNN-LSTM prediction and backstepping sliding mode control.
Juan Li   +3 more
doaj   +1 more source

Mission Design for Compressive Sensing with Mobile Robots [PDF]

open access: yes, 2011
This paper considers mission design strategies for mobile robots whose task is to perform spatial sampling of a static environmental field, in the framework of compressive sensing.
Hover, Franz S.   +4 more
core   +1 more source

Estimation of relative position and coordination of mobile underwater robotic platforms through electric sensing. [PDF]

open access: yes, 2012
International audienceIn the context of underwater robotics, positioning and coordination of mobile agents can prove a challenging problem. To address this issue, we propose the use of electric sensing, with a technique inspired by weakly electric fishes.
Ijspeert, Auke   +2 more
core   +3 more sources

H∞ robust control design for coupled Ciscrea AUV model

open access: yesZhongguo Jianchuan Yanjiu, 2021
ObjectiveA multi-input multi-output (MIMO) robust controller is proposed to realize the trajectory tracking and yaw control of a four-DOF Ciscrea autonomous underwater vehicle (AUV) model.
Yan LIU   +4 more
doaj   +1 more source

Motion Planning for Omnidirectional Wheeled Mobile Robot by Potential Field Method [PDF]

open access: yes, 2017
In this paper, potential field method has been used to navigate a three omnidirectional wheels’ mobile robot and to avoid obstacles. The potential field method is used to overcome the local minima problem and the goals nonreachable with obstacles nearby (
Chenguang Yang
core   +1 more source

Allocation Strategy Optimization Using Repulsion-Enhanced Quantum Particle Swarm Optimization for Multi-AUV Systems

open access: yesJournal of Marine Science and Engineering
In the context of multi-autonomous underwater vehicle (multi-AUV) operations, the target assignment is addressed as a multi-objective allocation (MOA) problem.
Changjian Lin, Dan Yu, Shibo Lin
doaj   +1 more source

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