AI Technology for Underwater Robots

Beschreibung

This book provides exclusive insight into the development of a new generation of robotic underwater technologies.
Deploying and using even the most simple and robust mechanical tools is presenting a challenge, and is often associated with an enormous amount of preparation, continuous monitoring, and maintenance.
Therefore, all disciplinary aspects (e.g. system design, communication, machine learning, mapping and coordination, adaptive mission planning) are examined in detail and together this gives an extensive overview on research areas influencing next generation underwater robots.
These robotic underwater systems will operate autonomously with the help of the most modern artificial intelligence procedures and perform environmental monitoring as well as inspection and maintenance of underwater structures. The systems are designed as modular and reconfigurable systems for long term autonomy to remain at the site for longer periods of time. New communication methods using AI enable missions of hybrid teams of humans and heterogeneous robots.
Thus this volume will be an important reference for scientists on every qualification level in the field of underwater technologies, industrial maritime applications, and maritime science.

This book provides exclusive insight into the development of a new generation of robotic underwater technologies.
Deploying and using even the most simple and robust mechanical tools is presenting a challenge, and is often associated with an enormous amount of preparation, continuous monitoring, and maintenance.
Therefore, all disciplinary aspects (e.g. system design, communication, machine learning, mapping and coordination, adaptive mission planning) are examined in detail and together this gives an extensive overview on research areas influencing next generation underwater robots.
These robotic underwater systems will operate autonomously with the help of the most modern artificial intelligence procedures and perform environmental monitoring as well as inspection and maintenance of underwater structures. The systems are designed as modular and reconfigurable systems for long term autonomy to remain at the site for longer periods of time. New communication methods using AI enable missions of hybrid teams of humans and heterogeneous robots.
Thus this volume will be an important reference for scientists on every qualification level in the field of underwater technologies, industrial maritime applications, and maritime science.

Autor*in

Frank Kirchner

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AUV Offshore inspection Underwater Navigation Machine learning AI navigation Robots for Environmental Monitoring robotic underwater systems robotic underwater technologies AI pressure sensors Autonomous underwater robots autonomous underwater vehicle

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