AIMC Topic: Ships

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Bioinspired locomotion and grasping in water: the soft eight-arm OCTOPUS robot.

Bioinspiration & biomimetics May 13, 2015
The octopus is an interesting model for the development of soft robotics, due to its high deformability, dexterity and rich behavioural repertoire. To investigate the principles of octopus dexterity, we designed an eight-arm soft robot and evaluated ...
Robotics Equipment Design Models, Biological Computer Simulation Animals Hand Strength Equipment Failure Analysis Ships Extremities Swimming Octopodiformes
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Mechatronic design and locomotion control of a robotic thunniform swimmer for fast cruising.

Bioinspiration & biomimetics Mar 30, 2015
This paper presents mechatronic design and locomotion control of a biomimetic robotic fish that swims using thunniform kinematics for fast cruising. Propulsion of the robotic fish is realized with a parallel four-bar propulsive mechanism that deliver...
Computer-Aided Design Robotics Central Pattern Generators Equipment Design Models, Biological Computer Simulation Animal Fins Ships Feedback Biological Clocks Animals Micro-Electrical-Mechanical Systems Fishes Biomimetics Swimming Equipment Failure Analysis Feedback, Physiological
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Perspectives on biologically inspired hybrid and multi-modal locomotion.

Bioinspiration & biomimetics Mar 25, 2015
Systems Integration Ships Biomimetic Materials Locomotion Robotics Aircraft Equipment Design Gait
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Adaptive Robust Output Feedback Control for a Marine Dynamic Positioning System Based on a High-Gain Observer.

IEEE transactions on neural networks and learning systems Mar 5, 2015
This paper develops an adaptive robust output feedback control scheme for dynamically positioned ships with unavailable velocities and unknown dynamic parameters in an unknown time-variant disturbance environment. The controller is designed by incorp...
Ships Nonlinear Dynamics Environment Geographic Information Systems Robotics Humans Neural Networks, Computer Algorithms Feedback
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Ultra-fast escape maneuver of an octopus-inspired robot.

Bioinspiration & biomimetics Feb 2, 2015
We design and test an octopus-inspired flexible hull robot that demonstrates outstanding fast-starting performance. The robot is hyper-inflated with water, and then rapidly deflates to expel the fluid so as to power the escape maneuver. Using this ro...
Escape Reaction Octopodiformes Computer Simulation Animals Robotics Biomimetics Equipment Design Swimming Models, Biological Equipment Failure Analysis Ships
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Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks.

IEEE transactions on cybernetics Jan 1, 2015
In this paper, the motion dynamics of a large tanker is modeled by the generalized ellipsoidal function-based fuzzy neural network (GEBF-FNN). The reference model of tanker motion dynamics in the form of nonlinear difference equations is established ...
Motion Ships Neural Networks, Computer Algorithms Computer Simulation Models, Theoretical Fuzzy Logic
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A Novel approach to ship valuation prediction: An application to the supramax and ultramax secondhand markets.

PloS one Jan 1, 2025
Accurate ship valuations are very important in ship sales and purchase (S&P) transactions and for marine insurance purposes. It is equally important to select an appropriate valuation methodology. Today, one of the methods is Machine Learning (ML) al...
Humans Models, Economic Linear Models Commerce Machine Learning Algorithms Ships
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Sensor-Based Fuzzy Inference of COVID-19 Transmission Risk in Cruise Ships.

Studies in health technology and informatics Aug 22, 2024
Cruise ships are densely populated ecosystems where infectious diseases can spread rapidly. Hence, early detection of infected individuals and risk assessment (RA) of the disease transmissibility are critical. Recent studies have investigated the lon...
Fuzzy Logic Ships SARS-CoV-2 Risk Assessment Humans Pandemics COVID-19
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Distinguishing multiple surface ships using one acoustic vector sensor based on a convolutional neural network.

JASA express letters May 1, 2022
A direction of arrival (DOA) estimation method based on a convolutional neural network (CNN) using an acoustic vector sensor is proposed to distinguish multiple surface ships in a selected frequency band. The cross-spectrum of the pressure and partic...
Neural Networks, Computer Acoustics Ships
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Data driven source localization using a library of nearby shipping sources of opportunity.

JASA express letters Dec 1, 2021
A library of broadband (100-1000 Hz) channel impulse responses (CIRs) estimated between a short bottom-mounted vertical line array (VLA) in the Santa Barbara channel and selected locations along the tracks of 27 isolated transiting ships, cumulated o...
Ships Acoustics Motion Sound Sound Spectrography
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