Machine Learning Based Approach to Predict the Position of Robot and its Application

Abstract

Having a robot that can fine-tune its own settings is a terrific way to keep up with the latest developments in mechanical technology. The principle of the pendulum serves as the basis for this idea. A framework will go through a cycle of self-adjustment to bolster itself from the inside out. The goal of this study is to provide the robot with the means of self-adjustment and balance, making it possible for it to successfully address the difficulties associated with maintaining a shaky structure. By analyzing data from the accelerometer and gyrator, the robot's accurate three-dimensional location may be calculated and sent to a controller. The regulator's own code then legitimately directs the drive module's wheels to revolve, improving the robot's steadiness. When compared to robots with four wheels, this one's superiority lies in its ability to swiftly spin and avoid obstructions. Because of this, it has become an indispensable resource in several modern contexts.