2015
DOI: 10.1109/mra.2014.2385561
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Future Trends in Marine Robotics [TC Spotlight]

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Cited by 131 publications
(42 citation statements)
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“…Refer to [20], [21] for surveys on the evolution and trends of marine robotics. However, marine robots are still limited in their ability to operate robustly for long periods of time in certain situations [1] and environments such as riverine settings.…”
Section: Waterborne Environmental Monitoringmentioning
confidence: 99%
“…Refer to [20], [21] for surveys on the evolution and trends of marine robotics. However, marine robots are still limited in their ability to operate robustly for long periods of time in certain situations [1] and environments such as riverine settings.…”
Section: Waterborne Environmental Monitoringmentioning
confidence: 99%
“…As the ocean attracts great attention on environmental issues and resources, the need for and use of underwater operational systems become more and more demanding [1][2][3]. With significant advances of different types of mobile robots and manipulators in a bunch of application fields [4][5][6][7][8][9], marine robots including unmanned surface vehicles (USVs) [10][11][12], remotely operated vehicles (ROVs) [13,14], and autonomous underwater vehicles (AUVs) [15][16][17][18] have been well developed in last decades [19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the last marine robots are supported by the state-of-the-art communication systems. Marine robots with networking support is especially preferred in environmental sensing and ocean observation applications (Zhang et al [2015]). Especially, the use of underwater robotic sensor networks for ocean sampling and surveillance is a perceivable trend (Zhang et al [2015]).…”
Section: Introductionmentioning
confidence: 99%
“…Marine robots with networking support is especially preferred in environmental sensing and ocean observation applications (Zhang et al [2015]). Especially, the use of underwater robotic sensor networks for ocean sampling and surveillance is a perceivable trend (Zhang et al [2015]). Observations from the vehicles can be combined to detect and measure ocean features more effectively than using single vehicle , Curtin et al [1993]).…”
Section: Introductionmentioning
confidence: 99%