Nov 28, 2018
The course was challenging, but fulfilling. Thank you Coursera and University of Pennsylvania for giving this wonderful experience and opportunity that I might not experience in our local community!
Jul 03, 2018
The topic was very interesting, and the assignments weren't overly complicated. Overall, the lesson was fun and informative , despite the bugs in the learning tool(especially, the last assignment.)
автор: Evan Whitehouse•
Apr 22, 2019
The content covers the basic theory well, but for the assignments significant reverse engineering of their MATLAB code is required and the pinned discussion usually lacks detail. Then, when you have questions, you can forget about getting any response from the course staff. If you can't find an answer to your question or help with your problem in a post from a fellow student, you're on your own--the staff ignores the discussion forums for months on end.
автор: xiao xu•
Apr 20, 2019
very useful intro course to motion planning.
автор: Marcus Stanley•
Apr 01, 2019
автор: Sanskar Katiyar•
Mar 28, 2019
Was very brief. Expected a little more brevity and details regarding the subject matter. A decent introduction but there is a lot more to learn there. Certain assignments have minor issues, so please jump to the discussion forums if you face any issues.
автор: DEEPAK KUMAR PANDIT•
Mar 28, 2019
the programming assignments needed a lot of outsourcing for materials, without reading which, it was impossible to pass them just keeping up to the lectures. those materials could have been dealt with in the lecture via supplementary videos.
автор: Ivan Immanuel•
Mar 07, 2019
Very minimal lectures and explanation while the assignments are very complicated
автор: Prahlad Kumar Sahu•
Feb 20, 2019
if you are passionate about robotics you should try this.
автор: chris schulz•
Feb 03, 2019
Topics covered are good, but need the following:
1) More detail in the lecture related to the exercises, with detailed examples in the lecture.
2) Much more detail in the end of week exercises including a writeup explaining the approach and code (as was the case in Dr. K's quadcoper course)
3) Revise or abandon the current autograder. The feedback is extremely poor to non existent when your code is not working.
3) Redo the code examples -- Too much time is spent attempting to understand what the provided code is for, what relation it has to the other files provided, and where the bugs in the code are. For example, I spent the majority of my week doing code archeology as subsequent debugging as no documentation is provided for the multiple files provided. As such, 80% time saving could be had if these recommendations were put into place.
As well, please use a traditional Matlab approach, not the we based excercise tool. I was only able to proceed in my excercies by using the Coursera provided Matlab desktop as well as and Octave as the web based exercise tool failed to provide insight into what was occurring when errors were present.
4) Provide more timely assistance. The TA assistance is very poor to non existant. When it was available, the assistance was not helpful as the answers did not address the question. On this note, I suspect that many students withdrew from the class as they could not get needed assistance to complete the assignments.
автор: Nikola Mandic•
Jan 27, 2019
its good that there are tips in the forum
some of the assignments have their quirks
there is always a thing in any school how much people separate technicalities from assignment story
some tend to make assignment that abstracts much of technical hurdles in interest of the course
some leave quirks related to tech with forum help the latter is kinda eliminated to good degree
thanks for the course its great
автор: Charulaxmi Fadnavis•
Dec 27, 2018
Good coverage and explanation of various algorithms.