I'm building a robotics curriculum for a K-8 school, and as part of that process I'm trying to master the computational parts of mobile robotics (I also want to build a robotic mower for my pasture...). I'm going through two books to do that: Introduction to Autonomous Mobile Robots and Probabilistic Robotics.
These are my notes, in the form of Anki flash cards, along with my attempts at solutions to all of the exercises in both books. I will be keeping the two books' answer sets separate for easier reference.
I'm hoping that this repo will turn into a kind of self-directed MOOC for mobile robotics. I like online courses a lot, but I tend to think they don't go deep enough most of the time. That will definitely not be the case here - if we read the books and do all of the note cards and exercises, my hope is that we'll end up with deep knowledge of the subject.
I'm not an expert in this stuff (yet), so it's likely that my solutions will be incomplete, incorrect, or otherwise flawed! I would be extremely happy to get pull requests with corrections, alternative solutions, and additional flashcards (or better versions of the existing ones), or anything else that fits with the idea of self-teaching mobile robotics, as I don't have any external reference to use for checking my work. So far, both of these books are excellent and I highly recommend checking them out if you're interested in this kind of stuff, and if you do please check back here from time to time to see what we've come up with for study aids.
- Anki decks, one for Probabilistic Robotics, and the other for Intro to Autonomous Robots. To use them, you'll need to get Anki.
- LaTeX files for my solutions to the exercises. I try to include a lot of explanation of why I'm doing certain things, as a way to help my future self when studying this stuff later. Hopefully you'll find them handy as well.
- Miscellaneous programs from the books or other sources of inspiration, probably mostly written in Rust, Python, or Julia. I welcome pull requests with bug fixes and alternative solutions or example programs, in any language.