Rubiks-Learning-Robot (RLR)
RLR aims to solve a Rubiks cube in real life without human knowledge. We utilize a vision system to obtain the state of the cube in real time, a reinforcement learning algorithm to learn to solve the bot, and robotics to directly augment a real cube.
This is a project undertaken by members of Cornell Data Science:
Tobi Alade, Edward Gu, Eric Zhang, Skylar Shapiro, Vincent Fong, Kevin Jiang, Samuel Meisner