Feb 16, 2017
The material is clearly presented. The Matlab exercises complement and reinforce the subject, the level of difficulty is well balanced, thanks for this great course.
Jun 20, 2016
This is course is really helpful for beginners to understand how probability is useful in Robotics.Assignments are bit tough but worth the time .
By Joaquin Rincon•
Sep 22, 2018
Lack of detailed content, assigments WAY too difficult if you just take into account what was explained.
By Aryan Agarwal•
Sep 21, 2018
Great course learnt a lot !!
By Vu Nhat Minh•
Sep 19, 2018
This is a really comprehensive course which gave me a good knowledge about Gaussian Model and Kalman Filter ...
By Yuanxuan Wang•
Aug 15, 2018
Good course schedule, but videos in week 2 and week 4 really need some rework. There are errors in slides and videos are too vague to be helpful, I have to look for external materials to understand the topics (Kalman Filter and Particle Filter).
By Juan Álvaro Fernández Muñoz•
Aug 04, 2018
All in all, it's a very interesting, absolutely necessary topic for robotics. But everything is treated here without theory tests, detailed examples and the like, so learning is only tested with programming tasks. The student must work a lot with MATLAB to come up with crafty solutions for week practices.
By juha nieminen•
Jul 15, 2018
Assignments need some serious revising.
By Saurabh Mirani•
Jul 06, 2018
The course structure is nice. However there is little explanation for the programming assignments, especially the last one (week 4). For other weeks I got good help from the forums however the forums do not have much threads and many are unanswered. It would be great if more reading material can be added for that week.
By Shounak Das•
May 23, 2018
good course ..expecting more follow up courses on this topic !
By Matthew Pearson•
May 14, 2018
This course covers some very important techniques in modern robotics including Kalman filters, mapping, and Particle filters. However, the way that these topics are presented in this course is not very clear. The later lectures especially lack the necessary content to provide a clear understanding of advanced topics. The final assignment in particular is very poorly documented and the included instructions are a bit misleading. In addition to that, the forums seem to have been abandoned by the course instructors and are full of unanswered questions from struggling students, some of them more than a year old. This course needs some serious attention and revision. Definitely the lowest quality course of this series.
By Shaun Laidlow•
Apr 12, 2018
The professor left all the teaching to his Phd students. The material was not straight forward, and possibly made even more difficult with the lackluster slides and presentation. A pdf explaining the theories would be more helpful.