Autonomous Chinese Checkers Playing Robot Arm
The first Chinese Checker self-playing robotic arms
Main Features
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Autonomous Gameplay
Experience the thrill of a traditional board game like never before with our autonomous robotic arm. It plays Chinese Checkers against a human player, analyzing moves and executing its own with precision and speed, providing an engaging and dynamic gaming experience.
AI-Driven Strategy
Powered by advanced AI, our robotic arm uses the Minimax algorithm with Alpha-Beta Pruning to simulate strategic moves. It anticipates and counters your plays intelligently, offering a challenging yet fair opponent that evolves with every move.
Board Recognition
Using OpenCV technology with our own fine-tuning, the system will be the first ever system detects the positions of all pieces on the Chinese Checkers board in real time.
Precision Robotics
The robotic arm features high-precision control, ensuring smooth and accurate movement across all 121 positions on the game board. Its specially designed gripper ensures secure handling of game pieces without misplacement or errors.
Interactive and Engaging Design
Combining AI with robotics, this system brings the classic board game to life. Enjoy face-to-face gameplay with an autonomous machine that provides a human-like and interactive gaming experience.
Plug-and-Play Simplicity
Designed with user convenience in mind, the system is ready to play out of the box. Simply set up the board, start the game, and let the robotic arm take over, making it an effortless way to enjoy Chinese Checkers with a twist.
| Date | MilestoneSep 2024 |
| Sep 2024 | Deliverables of Phase 1: Detailed project plan Project web page |
| Oct-Nov 2024 | Modify the robotic arm Make a Demo version of mobile app |
| Dec 2024 -Jan 2025 | Deliverables of Phase 2: Further develop app so that it can control the robotic arm to execute the instructions Implement checkboard and pieces recognition function into the app |
| Feb – Mar 2025 | Deliverables of Phase 3 Apply Minimax algorithm and Alpha Beta Pruning to the AI application |
| Apr 2025 | Final presentation |
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