An Advanced Remote Brained Lego Robot System with Object In dentification
Syed Umar1, Endal Kachen Mosisa2

1Syed Umar*, Professor, Dept. of Computer Science, Wollega University, Nekemte, Ethiopia 
2Endal Kachen Mosisa, Dean & Assistant Professor, Dept. of Mechanical Engineering, Wollega University, Nekemte, Ethiopia
Manuscript received on May 01, 2021. | Revised Manuscript received on May 06, 2021. | Manuscript published on May 10, 2021. | PP: 31-35 | Volume-1 Issue-1, May 2021 | Retrieval Number: 100.1/ijdm.A1606051121 
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Robotics have been better at many things for many decades, and still, robot technology is used on everything from physical therapy to nuclear research modern robots typically run in predictable settings with in-board modules that are preset before being put into use. Traditional and current uses of robotics, on the other hand, call for extremely powerful onboard computation that would not be able to meet the needs of new and future ones. The robot would not have to physically house its own brain in the body. It starts with the whole brains in the mother’s womb and converses with them through radio connections. The brain is nurtured by having developed in the maternal system through the years. The central concept of the use of wireless software connected intelligent systems is that it connects intelligent systems with physical robot bodies. In this paper, the robot may provide a strong virtual environment’s virtual brain that includes a powerful vision device. As far as the authors are concerned, this method can be applicable to the intelligent design of mobile robots that possess both visual and physical sight to express visual action. A significant amount of effort is placed on exploring new ways to use robotic structures. And in the future, there are still plentiful possibilities for future breed of intelligent, adaptive, autonomous, and scalable robotic systems in the Internet of Things era.
Keywords: The Robot Would Not Have To Physically House Its Own Brain In The Body.