Open AccessUnderwater Gripper using Distributed Network and Adaptive Control
Author(s) -
Anil Kumar
Publication year - 2020
Publication title -
journal of electrical engineering and automation
Language(s) - English
Resource type - Journals
ISSN - 2582-3051
DOI - 10.36548/jeea.2020.1.005
Subject(s) - underwater , intervention auv , remotely operated underwater vehicle , identification (biology) , marine engineering , control (management) , control engineering , engineering , computer science , field (mathematics) , remote control , artificial intelligence , mobile robot , robot , computer hardware , geology , oceanography , botany , mathematics , pure mathematics , biology
Underwater identification and grasping of objects is a major challenge faced by the marine engineers even today. Nowadays, almost all underwater operations are either autonomous or tele-operated. In fact remotely operated vehicles (ROVs) are used to deal with inspection tasks and industrial maintenance whenever there is need for intervention. However, the field of autonomous underwater vehicle (AUV) is a blooming filed with research involving proper moving base control and forces interacting which leads to complicated configuration. Hence the presented work is focused implementation of end-effector with appropriate control and signal processing resulting in autonomous manipulation of movement under water.