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AI Technology for Underwater Robots

Sirko Straube (Hrsg.), Nina Hoyer (Hrsg.), Daniel Kühn (Hrsg.), Frank Kirchner (Hrsg.)

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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik

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.

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Schlagwörter

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