#193 overall
Control of Mobile Robots
Coursera
3 recommenders · 3 threads · recommended in 2 years, 2013–2016 · score 2.3
An online robotics course on Coursera covering the basics of mobile robot control, including odometry and PID control, with higher-level topics like route planning and localization touched on in comparison to other courses. Taught by Prof. Egerstedt of Georgia Tech.
Commenters call it a strong option for the basics of robot control, with one saying it covers odometry and PID control better than the Udacity robotics course.
Machine Learning & AIintermediatefreevideo lectures#robotics#mobile robots#control theory#pid control#odometry#egerstedt
Recommendations by year
20062026
I took the AI for robots on Udacity, the Machine Learning at Coursera and the Control of mobile robots on Coursera. They are all very good in my opinion. Of those, I would start with the Machine Learning course. Not only is it an excellent course and has material found in the others, but if you are at all rusty on your Linear Algebra it will help with that, in addition to the programming of course all of these course make heavy use of linear algebra. The coursera course both use Matlab, the Udacity course uses Python.
Of the robotics course I would say the one on Courera is better in terms of the basics of a robot, like odometry, PID control, etc. The one on Udacity I found more informative in terms of higher level concepts like route planning and localization.
Sure, there is of course the CS50 introduction to computer science (Best MOOC EVER), also Sedgewick lectures on algorithms and data structures, control of mobile robots on coursera and the software engineering interview on coursera, beside that most courses on Udacity are awesome.
Yes, I found the class somewhat slow going, and the programming environment fairly unpleasant (I’m not used to working in Eclipse). I ended up dropping the class somewhere in the middle.
Generally, I learn better from books than from lectures, but I found that some of the lecturers in online courses are truly outstanding (Prof Agarwal in Circuits and Electronics at MITx, Profs Ng (Stanford, Machine Learning), Egerstedt (Georgia Tech, Control of Mobile Robots), Pattison (Berklee, Songwriting)), so listening to their lectures was worth it. I did not quite find Odersky as strong as a lecturer.