A SwiftBot (also known as Trilobot) is a Raspberry Pi powered robot used throughout the first year of Computer Science at Brunel University of London.
- 2x front wheel drive, 1x rear castor
- Four tactile buttons and status LEDs
- Six-zone RGB underlighting
- Front facing ultrasound distance sensor and camera mount.
This project implements a Simon game using the SwiftBot, where the player must repeat a sequence of button presses corresponding to LEDs on the bot. Each button (A, B, X, Y) is paired with a unique colour (Red, Blue, Green, Yellow) and a corresponding LED. The game starts with a random colour sequence and each round adds another colour. If the player presses an incorrect button, the game ends. Every 5 rounds, the player can choose to continue or quit. If the player achieves a score of 5 or more, the SwiftBot celebrates with a V-shaped dive while randomly blinking the LEDs. The game ends with a message, "See you again Champ!" if the player quits.
In addition to the basic game requirements, I have enhanced the experience by introducing several custom features:
- In-game shop: Players can purchase additional colours (Brown, Cyan, Orange, Pink, Purple) for 120 coins each, and assign them to buttons A, B, X, or Y.
- Currency system: Players earn 50 coins after completing 5 rounds, which can be used to buy new colours.
- Difficulty levels: Four difficulty levels are available, with increasing sequence lengths:
- Level 1: 3 colours
- Level 2: 4-6 colours
- Level 3: 7-10 colours
- Level 4: 11-15 colours
- Lives system: Players can start with a set number of lives, losing one with each incorrect input, rather than the game ending immediately.
- Countdown warning: A countdown appears before the SwiftBot performs its celebration dive, preventing it from falling off tables.
- Player profiles: User data is stored in a text file, preserving coin balance and purchased colours across sessions.
Check out the video below to see the game in action:
This implementation resulted in our group being awarded the "Best Group Award" by the Module Leader and my implementation video was shared with the entire cohort.