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 Aman Bawa•
Feb 12, 2019
It was a well timed course with short videos. However, the assignments didn't do justice (especially assignment 4)
By pavana abhiram Sirimamilla•
Feb 10, 2019
It is a good course and I learnt a lot. However, Professor should have taught instead of the TAs. 4 or 5 minute lectures on important concepts such as particle filter and Kalman Filter is not at all adequate. Wrong formula is shown for one of the important concepts (particle filter). I hope they work on improving the course.
Jan 07, 2019
Excellent exposure to mapping, localization, etc. Would have liked to have odometry included in the week4 assignment.
By Liang Li•
Dec 31, 2018
I don't think the staff and the mentors organize the course materials well. Firstly, they don't introduce the concepts clearly in the videos, and the professor is hardly involved. Secondly, the programming assignments are not carefully designed, as there is not clear statement and an expected outcome to examine our work. I suggest watching Andrew Ng's Machine Learning to see how well he and his team organize the course materials.
By Xiaotao Guo•
Dec 16, 2018
the topic is interesting, but the videos seems a little bit short
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.