PuzzleBot: Rubik's Cube Solver System

Abstract

The robot's manipulator is equipped with precision motors and grippers to efficiently manipulate the Rubik's Cube. A feedback control system ensures precise movements and alignment during the solving process. The entire system is controlled by a centralized software architecture that orchestrates the integration of vision, AI, and robotic manipulation components. Performance evaluation is conducted through extensive testing on various initial cube configurations. The robot demonstrates a high success rate in solving the Rubik's Cube within a reasonable timeframe. The paper also discusses potential improvements, scalability, and applications of the proposed hybrid approach in other robotic problem-solving scenarios. In conclusion, the presented Rubik's Cube solver robot showcases the successful integration of computervision, artificial intelligence, and robotic manipulation to autonomously solve a complex and dynamic puzzle. The hybrid approach offers flexibility, adaptability, and efficiency, making it a promising solution for real-world applications requiring intelligent robotic problem-solving capabilities.