Over the years, we have featured a number of Rubik cube-solving machines. However, none have been created using the FAC building system, which was developed back in the early 1950s by Swedish artist Mark Sylwan. The FAC system, known for its modular and flexible design, allows for the creation of intricate mechanical systems, making it an ideal choice for building a Rubik’s Cube solver.
Innovative Use of Raspberry Pi and Arduino
The processing part of the system is controlled by a Raspberry Pi single-board mini PC, which has been combined with an Arduino development board to control the different servos within the system. The Raspberry Pi handles the computational heavy lifting, running algorithms to determine the sequence of moves needed to solve the Rubik’s Cube. Meanwhile, the Arduino is responsible for executing these moves by controlling the servos that manipulate the cube.
This combination of Raspberry Pi and Arduino showcases the power of integrating different technologies to achieve a common goal. The Raspberry Pi, with its robust processing capabilities, and the Arduino, with its precise control over hardware, work in tandem to create a seamless and efficient system.
Mechanical Precision and Algorithmic Efficiency
Watch the video below to see the system in operation and its mesmerizing mechanical-driven problem-solving actions. The machine’s precision is a testament to the careful engineering and programming that went into its creation.
The heart of this standalone machine is built up from a Raspberry Pi Compute Module in combination with an Arduino Mini. The scanner is assembled from 3 modified Colorpal color sensors.
For the second-generation solver (4 gripper solver), we are going to use the Pi camera instead of the aforementioned Colorpal’s. For the solving part, we used part of the Kociemba algorithm.
The use of Colorpal color sensors in the first-generation solver allows the machine to accurately detect the colors on each face of the Rubik’s Cube. However, the creators plan to upgrade to a Pi camera for the second-generation solver, which will likely improve the speed and accuracy of the scanning process.
The Kociemba algorithm, a popular choice for Rubik’s Cube solvers, is known for its efficiency in finding solutions with a minimal number of moves. By incorporating this algorithm, the machine can solve the cube quickly and efficiently, often in fewer moves than a human solver.
Future Developments and Potential Applications
The development of this Rubik’s Cube solver using the FAC building system, Raspberry Pi, and Arduino is a fascinating example of how modern technology can be used to tackle complex problems. As the creators continue to refine and improve the system, we can expect even more impressive results in the future.
Beyond solving Rubik’s Cubes, the principles and technologies used in this project have potential applications in various fields. For example, the combination of Raspberry Pi and Arduino could be used in industrial automation, robotics, and even in educational tools to teach programming and engineering concepts.
Source: reddit : Hack A Day
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