Wondering if anyone has an idea for a good “beginner” experiment for integrating deep learning, computer vision and a consumer 4-DOF robot arm (programmable in Python)? I’m still pretty green in all these areas - especially the robotics, and a lot of the relevant papers I have read so far, are definitely far above my skill level and/or require a huge data set that wouldn’t be easy to recreate. But I would like something that I can use to progress in all these areas at once. Obviously needs to be nothing trailblazing.
I was thinking maybe something like recognizing board game pieces and picking them up might be fun. But maybe even that will prove too difficult. Anyone have any pointers/ideas?
Thanks!