Shallow Orange is our autonomous chess-playing robotic system developed for Robotics Studio 2 at UTS.
The system:

• Detects the board state via an RGB camera with computer vision
• Calculates the optimal move using a chess AI (Stockfish)
• Physically moves chess pieces using a UR3e robot arm and RG2 gripper
• Operates safely with integrated manual override and real-time feedback

This modular system allows each subsystem to operate independently and later integrate to form a fully functional solution.

Subsystem	Description	Lead(s)
Vision System	Detects chessboard layout and pieces; outputs FEN string.	Sean Ealey
AI Integration	Uses Stockfish to compute the optimal move from FEN input.	Finn Witney
Safety System	Implements dead man switch, E-stop, and turn-based toggling.	Liam Calder
Robot Arm Manipulation	Controls the UR3e and RG2 gripper to execute moves.	Milo Boyd

• Autonomous move generation and execution
• Real-time vision tracking of the board
• Adjustable AI difficulty via GUI
• Custom 3D printed chessboard for precise alignment
• ROS2-based communication and coordinated subsystem integration
• Comprehensive safety and manual override protocols

To install, configure, and run the system, please refer to the following sections:

• Installation Guide
• Running the System
• Physical Setup
• Vision Subsystem
• AI Integration
• Safety Subsystem
• Robot Arm Manipulation