Rubic’s cube solver Robot

Abstract

This paper presents the design, implementation, and performance evaluation of an autonomous Rubik's Cube solver robot. The robot employs a hybrid approach that combines computer vision, artificial intelligence, and robotic manipulation to efficiently solve the Rubik's Cube puzzle. The primary objective of the system is to showcase a versatile and adaptable solution that can tackle the complexity of the Rubik's Cube while providing insights into the integration of diverse technologies. The robotic system comprises a camera for cube state recognition, a computational unit for solving strategy generation, and a robotic manipulator for cube manipulation. The computer vision module employs advanced algorithms for color detection and cube orientation, ensuring accurate cube state representation. The solving strategy generation utilizes a combination of traditional Rubik's Cube solving algorithms and machine learning techniques to optimize solving sequences based on the cube's current state.