AUV, which stands for ‘Autonomous Underwater Vehicle,’ has immense applications in discovering things beneath the deepwater. It explores each and everything that is beneath this deepwater, which is hard to explore and reach. Many problems beneath the sea are related to optics and sound vibrations. The sensors present in the AUVs cannot detect these problems and thus are not able to reach the narrow spaces or the narrow fillings in the rocks and soil present in the sea. The problem statement was very clear in front of the research group that they have to build a technology that reaches each part and gives us appropriate data regarding the deep sea environment.
To assist with this problem, researchers develop a U3DTT technology, which stands for ‘underwater three-dimensional tactile tensegrity’. The U3DTT works on deep learning algorithms like Neural networks, Autoencoders, and Boltzmann machines. This device is based on triboelectric mechanisms. It has triboelectric sensors from which the 3D information captured by the device could be extracted by keeping the output voltages of the sensors constant. It provides tactile feedback for collision AUVs to mentor their operation and ensure they survive at high elastic speed. The deep learning-based AUV, the U3DTT, which was integrated with an AUV, was successfully launched. It estimated its pose and corrected the poorly launched natural environments by the previous AUVs. It also has diverse applications related to deep learning technologies. The applications are listed below.
The U3DTT device shows applications in the field of robotics, which are implemented using deep learning algorithms. It has high sensitivity and high degrees of freedom, which enables it to have a fast response as compared to AUV. The U3DTT device is automated with a robot that provides 3D sensing feedback. It also hypnotizes and mimics the structure of terrestrial plants and animals depending on the conditions favorable for it. The main perception is based on underwater sound and hydrodynamic characteristics as they provide information about the target. These results represent a striking advancement in underground robotics. This was an underground application in the field of Artificial Intelligence.
The results of the research prove that U3DTT can give information about every obstacle in the underground 3D space by estimating its posture. The research scientists hope that the nanogenerators in the future can solve the problem of information gathering or data analytics in those restricted water areas to a large extent. Many underwater intelligent equipments based on Artificial Intelligence and further advancements will come into the picture in recent times.
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Bhoumik Mhatre is a Third year UG student at IIT Kharagpur pursuing B.tech + M.Tech program in Mining Engineering and minor in economics. He is a Data Enthusiast. He is currently possessing a research internship at National University of Singapore. He is also a partner at Digiaxx Company. 'I am fascinated about the recent developments in the field of Data Science and would like to research about them.'
