SG
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Very succinct lectures which provides necessary foundation to learn advanced localization algorithms.
AM
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Good course with a good overview of main algorithm in robotics such as Kalman filters or Particle filters. Assignments are challenging
By Yiming Z
•Oct 14, 2017
Poor explanations in the lectures especially for particle filter.
It doesn't go deep into why and how the method was developed in a theoretical way.
By Alejandro A V
•Jun 8, 2016
It is not very clear. The assignments have several problems with the given code. There are many things to improve in the next sessions.
By Gaurang G
•May 6, 2017
Week 2 kalman filter assignment not clear;
Course can be made more clear like Aerial Robotics.
By Nico W
•Feb 5, 2017
What's there is ok, but there is only a few minutes of lecture material each week.
By Shaun L
•Apr 11, 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.
By Nick L
•Sep 4, 2016
Barely any contents in the course. Only a few minutes of lectures, no quizzes and poorly constructed assignments that waste a lot of time. Weeks 2 and 4 have the worst material I've seen in all the courses I've taken until today.
By Rafael C
•Jun 18, 2016
You need to have deep knowledge in matlab to get pass the assignments. I have spent more time figuring out how the simulations are implemented that really learning about the target algorithm to implement.
By Daniel C
•Nov 25, 2017
Lecture videos are extremely short and often not useful for the assignment. Also, the assignments are poorly written. Week 4 is the worst. I had to finish this course to unlock the last capstone project.
By Joaquin R
•Sep 22, 2018
Lack of detailed content, assigments WAY too difficult if you just take into account what was explained.
By Wang M
•Jun 8, 2016
The assignment is meaningless. lack of instructions.