Autonomous Underwater Vehicles: Dynamics, Developments and Risk Analysis

Cynthia Mitchell (Editor)

Series: Robotics Research and Technology
BISAC: TEC037000

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$95.00

Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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Gravity-gradient and magnetic-gradient inversion equations are combined to estimate the orientation and distance of an underwater object. The CKF algorithm based on EMMAF algorithm and Spherical-Radial is proposed and is applied to the fault diagnosis of slaver AUV in multi AUV collaborative positioning system. Simulation results are used to analyze the advantages and disadvantages of the three algorithms. This book looks at how a Service-Oriented Agent Architecture (SOAA) for marine robots is endowed with resilient capabilities in order to build a robust (fault-tolerant) vehicle control approach. Particular attention is paid to cognitive RCAs based on agent technologies and any other smart solution already applied or potentially applicable to UMVs. The book also presents current and future trends of RCAs for UMVs. (Imprint: Nova)

Preface

Chapter 1. Underwater Object Detection Based on Geophysical Inversion Information
Ying Weng (School of Computer Science, Bangor University, UK and Meng Wu, School of Remote Sensing & Information Engineering, Wuhan University, China)

Chapter 2. The Fault Diagnosis Algorithm for Collaborative Localization of Multi-AUV
Xu Bo (Harbin Engineering University, China)

Chapter 3. Dependable Service-Oriented Agents for Maritime Robotics
Carlos C. Insaurralde and Yvan R. Petillot (Teesside University, Middlesbrough, United Kingdom and others)

Chapter 4. Robotic Control Architectures and Technological Trends
Carlos C. Insaurralde (Teesside University, Middlesbrough, United Kingdom)

Bibliography

Index

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