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Arduino Mega Chess on TFT display

Summary of Arduino Mega Chess on TFT display


This article details an Arduino-based chess program developed by an amateur to fulfill a childhood dream. The project utilizes an Arduino Mega 2560 and a touchscreen interface, employing the Negamax algorithm with iterative deepening and complex evaluation functions. Key features include full chess rules implementation, board rotation, FEN format loading, game saving to EEPROM, and adjustable thinking times ranging from 10 seconds to no limit. The author also notes plans to upgrade to a larger 3.5-inch display.

Parts used in the Arduino Chess Program:

  • Arduino Mega 2560
  • 2.8 inch touchscreen (initially)
  • Passive buzzer
  • EEPROM (for saving games)
  • Serial port interface
  • 3.5 inch MCUFRIEND touchscreen (updated version)

Story

Quick Solutions to Questions related to Arduino Chess Program:

  • Why was the Arduino Mega 2560 chosen for this project?
    The Arduino Mega 2560 was selected because the Uno lacks sufficient operative memory.
  • What algorithm does the chess program use?
    The program uses the Negamax algorithm combined with iterative deepening and killer heuristics.
  • Does the chess engine support standard chess rules like castling?
    Yes, play follows all chess rules including en passant, castling, and pawn promotion.
  • How can a user adjust the difficulty level of the AI?
    Difficulty is adjusted by choosing mean thinking time options ranging from 10 seconds to no limit.
  • Can the chessboard be rotated during gameplay?
    Yes, the board is rotatable and supports step-by-step drag and drop movement.
  • Is it possible to load a game position using FEN format?
    Yes, users can arrange initial positions or load them directly from the Serial port in FEN format.
  • How does the system handle saving and replaying games?
    Games can be saved in EEPROM for later download or replayed in fast mode.
  • What are the main challenges if someone wants to replicate this project with a different screen?
    The primary difficulty is calibrating the touchscreen and tuning coordinate transformation coefficients.

About The Author

Ibrar Ayyub

I am an experienced technical writer holding a Master's degree in computer science from BZU Multan, Pakistan University. With a background spanning various industries, particularly in home automation and engineering, I have honed my skills in crafting clear and concise content. Proficient in leveraging infographics and diagrams, I strive to simplify complex concepts for readers. My strength lies in thorough research and presenting information in a structured and logical format.

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