Abstract:
Underwater robot is pre-programmed technology that has made it possible for ocean researchers to collect a vast range of information regarding unexplored and dangerous pa...Show MoreMetadata
Abstract:
Underwater robot is pre-programmed technology that has made it possible for ocean researchers to collect a vast range of information regarding unexplored and dangerous parts of oceans. The robot-ocean network can help researchers in attaining new types of information that was impossible to be collected previously. These remotely operated vehicles go deeper into the water for gaining information using Scarlet Knight. It displays deep ocean cases to the researcher through its automated technology. In literature review chapter of this study, role played by marine-robotics, in exploration research, modelling of underwater robot, sensor and GPS systems incorporation in underwater-robot technology for conducting ocean exploration research are discussed. This section has provided conceptual frameworks and theoretical frameworks for supporting the analysis of the impact of underwater robots in ocean-exploration research. In the methodology chapter of this study, the ways data has been collected in this study have been described. Secondary data collection method is chosen for this study in order to collect vast range of existing information regarding the role of robots in underwater research. Further, in the findings and discussion chapter, different variables including exploration of deep sea for research, use of automated technologies and many others have been discussed. Based upon the findings, it has been found that there exists a positive relationship between ocean research and use of underwater robots. This study has provided recommendations for addressing different challenges associated with this technology in exploring the sea in most effective way for adding new insight into research.
Published in: 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
Date of Conference: 09-11 May 2022
Date Added to IEEE Xplore: 16 June 2022
ISBN Information: