Smart Rubik’s Cube Solving Robot with Colour Recognition

Abstract

The Rubik's Cube, an iconic 3D combination puzzle, has captivated millions of people worldwide since its invention in 1974. Rubik’s cube is considered to be the most challenging puzzle developed for humans. Solving this puzzle requires logical reasoning, spatial visualization, and algorithmic thinking. Developing a robot to solve a Rubik's Cube is a fascinating engineering and programming challenge that integrates concepts from computer vision, robotics, artificial intelligence, and mechanical engineering. The system utilizes a combination of hardware and software components, including a robotic arm, high-speed motors, cameras, and machine learning algorithms, to recognize the cube's state and compute the optimal solution. This paper proposes the development of an autonomous Rubik's Cube solver robot capable of efficiently solving the puzzle in minimal time.. The system utilizes a combination of hardware and software components, including a robotic arm, high-speed motors, cameras, and machine learning algorithms, to recognize the cube's state and compute the optimal solution. This synopsis outlines the methodology, components required for development, the step-by-step process of building the robot, the working principle, the algorithms involved, and the conclusion that highlights the educational and practical significance of this project.