The most significant risks that could jeopardize the success of the project is the board state detection accuracy, which hasn’t change since last week. We are aiming for above 95% accuracy but that is 1 wrong move in 20 total moves and each game is around 40-60, which we believe is a non negligible amount of misreads that could potentially affect the game. We hope to obviously beat this 95% accuracy and we will come up with a robust testing metric to see when it is specifically failing, if it does at all, like not being able to read specific pieces or in specific conditions. As we get to cut out the physical board and pieces, we will be working on solving this problem and increasing the accuracy.
We do not have any changes to the existing design requirements and have no updates to the schedule.
For individual status reports, see:
https://course.ece.cmu.edu/~ece500/projects/s26-teamd3/2026/02/21/yoyos-status-report-for-2-21/
https://course.ece.cmu.edu/~ece500/projects/s26-teamd3/2026/02/21/charlies-weekly-report-for-2-21/
https://course.ece.cmu.edu/~ece500/projects/s26-teamd3/2026/02/21/claires-status-report-for-2-21/