Titlebook: AI Technology for Underwater Robots; Frank Kirchner,Sirko Straube,Nina Hoyer Book 2020 Springer Nature Switzerland AG 2020 AUV.Artificial

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Studies in Computational Intelligencemultiple AUVs working in a swarm. However, communication in the underwater environment is unreliable and does not allow high data rates due to high interference and poor signal propagation conditions. This article reviews existing concepts for underwater communications both from the information tran

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Abraham Kandel,Horst Bunke,Mark Last extremities and end effectors, that are so robust that they withstand the environmental conditions and are able to apply enough force to perform the usually heavy work. At the same time, the systems must also be sensitive enough to enable precise and adaptive control. In addition, both the mechatro

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https://doi.org/10.1007/978-3-030-57931-9uires robust sensing capabilities as well as advanced signal processing strategies. Multimodality in sensing as well as data processing is considered as an approach to strengthen the robustness of decision making for autonomous underwater robots. This chapter summarizes the current developments in s

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Benjamin Anderson,Chandler L. Walkern interdisciplinary research area, the article exclusively addresses the role of computer science (CS) research with a focus on CFD. Therefore, exemplary contributions of the CS research groups headed by the authors are discussed. The industrial applicability of previous research is briefly stated.

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Mathew Goldschmidt,Justin B. Clemow in confined spaces by exploiting in particular the spatial borders and considering information that is not available in open waters. There are natural confined spaces, e.g. caves, as well as artificial ones, e.g. tripods of off-shore wind turbines or underwater oil-and-gas facilities, which make th

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AI Technology for Underwater Robots978-3-030-30683-0Series ISSN 2213-8986 Series E-ISSN 2213-8994