2017
DOI: 10.1016/j.oceaneng.2017.07.008
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Study of manipulator operations maneuvered by a ROV in virtual environments

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Cited by 18 publications
(3 citation statements)
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“…Divers typically work in environments with a water depth of up to 60 meters. Due to factors such as ocean currents, visibility, support vessels, and the equipment used, underwater operations exhibit significant unpredictability, leading to relatively high operational risks [1] . The underwater accompanying robot designed in this study can assist divers in carrying a large number of tools, enabling prolonged collaboration with divers and enhancing their underwater efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…Divers typically work in environments with a water depth of up to 60 meters. Due to factors such as ocean currents, visibility, support vessels, and the equipment used, underwater operations exhibit significant unpredictability, leading to relatively high operational risks [1] . The underwater accompanying robot designed in this study can assist divers in carrying a large number of tools, enabling prolonged collaboration with divers and enhancing their underwater efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…Currently, the vast majority of underwater technological and research manipulative operations are performed only in a manual mode by specially trained UUV operators. Experienced operators successfully set trajectories for MM working tools [15][16][17]; nevertheless, it is very difficult for them to quickly and accurately solve a multitude of complex problems while having no direct contact with a work object and using only video images. This reduces the efficiency of their operation and increases the probability of errors.…”
Section: Introductionmentioning
confidence: 99%
“…Currently, the main means to predict the resistance performance of ROV are constraint model test and computational fluid dynamics (CFD) prediction method, but the test requires a lot of labor and financial resources and takes a long period, so it is difficult to adapt to the urgent demand for products in the fierce market competition. 1,2 In recent years, the rapid growth of computer storage capacity and the constant maturity of mathematical knowledge have made it possible to predict the resistance performance of ROV using CFD method. In particular, some large servers, workstations and even supercomputing centers have been adopted into universities and research institutes.…”
Section: Introductionmentioning
confidence: 99%