- to create a robot that plays Connect Four at a high skill level against a human opponent.
- Ideally is able to reliably beat its human opponents with minimal algorithm compute time (less than 10s per turn decision).
- 4/19/2022: Our robot beat a human player for the first time (running search depth 4)!
- revise and print piece dispenser design to have a smaller column
- solve problem of ridged token edges that prevent clean dispensing
- Get H-bridge stepper motor circuit running with Python code
- finalize and 3d print column-style piece dispenser
- 3d print and assemble gantry
- wire routing
- Develop code localization and piece color classification method
- Done. See interpretBoard.py, which uses HSV color thresholding and board localization using 4 ArUco markers on board edges
- Get RPi camera running
- Solve problem of RPi slow minimax compute time (see BTCommFunctions.py that uses wireless Python bluetooth sockets to communicate with a more powerful laptop in about 0.2 seconds per query)
- switching to a different minimax implementation significantly reduced computation time (see better_minimax.py)
Intended for display at the annual organization fair at GCC in lieu of a functioning piece placement system. Most importantly, it allows booth visitors to clearly see the column choice chosen by the minimax algorithm when playing a game at the booth.
See dashboard.py and the modified main program
Below is a screenshot of the data dashboard:
The GNU General Public License v3.0 Copyright © 2022 Peter Reynolds and the Grove City Robotics Club