Mutairi, Abdallah Waddah A. A. and Hendriana, Dena and Sofyan, Edi (2018) WSN Robot for Unreachable Areas. Masters thesis, Swiss German University.
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Abstract
This research presents a hybrid robot with two manipulator arms and two cameras that move on XY plate built on a rover robot base. The proposed robot system will be controlled wirelessly via wear suit that contains special flexible sensors and accelerometers to detect the operator movements and direct interaction with robot in the same time and direction. The main purpose of the implemented robot system is to replace human in difficult jobs such as moving heavy and rocks things while constructing building , that’s through The human (operator) who controls the robot will have virtual reality glasses that will provide his eyes with images from cameras, since each camera will deliver an image to its corresponding eye. Therefore, 3D video can be achieved, beside that cameras XY plate on robot will move depending on human head movements that is determined via virtual reality glasses accelerometer sensor. In this thesis, the design and implementation of the proposed robot system will be discussed, the most important results achieved are the Wireless control is implemented and the Flexible sensors were used successfully, also the Control via human movement is achieved, On-line audio and video transmission is applied and The ability of new user defined extra sensors is available.
Item Type: | Thesis (Masters) |
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Uncontrolled Keywords: | Robots; Wireless Communication; Wireless Sensor Networks; Manipulators; Virtual Reality |
Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ210 Robots (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5103 Mobile computing > TK5103.483 Wireless communication systems--Technological innovations |
Divisions: | Faculty of Engineering and Information Technology > Department of Mechatronics Engineering |
Depositing User: | Astuti Kusumaningrum |
Date Deposited: | 13 Jul 2020 15:49 |
Last Modified: | 13 Jul 2020 15:49 |
URI: | http://repository.sgu.ac.id/id/eprint/792 |
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