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!
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.)
By Daniel J•
some of the assignments are unclear, need more detail. Over all great course.
By Himanshu S•
Conceptually good but knowledge of coding is a prerequisite for this course.
By Mohammed A•
The videos are short and to the point, and the Matlab home works are great.
By Neel P•
Could be improved. There is more need of involvement of mentors and TAs.
By Shuai W•
The last part is a bit boring.
Overall I like this course a lot! Thanks!
By Joaquin R•
Good course. Easy to understand and with reasonable mat lab assigments
By Nhan T•
I learned a lot of brilliant techniques in this course. Thank you.
By rajas j•
Week 1 dijkstra assignment took 1month to get acess to
Quite good, It can be better if the content is richer
It is only introductory course. not a lot of content.
By Anil S•
Taught me many planning algorithms in an easy way.
By Rahul N•
Very useful introductory course to path planning
By Vikalp M•
assignment grading feedback can be made better.
By rao s y•
Should letting us do more programming stuff.
By AMIT S P•
Good Introductory Course but can be better.
By Manikandan R•
Damn good!! and bit difficult
By Orlando B•
It was a great course!!!
By Abdullah B•
Good but can do better.
By MAssimo S•
Basic concept course
forum is useful !!!
By Fabio B•
Very good course!
By Md I S•
it was great.
By Prabin K R•
By Deep P•
I would like to thank Coursera team, university of Penn and Prof. CJ Taylor for providing this course. Please take this as a constructive feedback and not a complain. I personally felt that lectures were too short and didn't do justice to the topics for all 4 weeks. Even though lectures were crisp and to the point for learning the algorithm, still I feel that more comprehensive knowledge about the topics should be shared. For ex- applications of these algorithms. Also a little more focus on implementation part please. It seemed that Prof. Taylor was screen reading the lecture content. I was very disappointed when I realized this (in week1 only). Unlike other courses where instructor engages with students as if they are really talking to us, this felt plain. As for the assignments, for week1 and 3 the pseudo code displayed in the lecture video wasn't tested in the assignment. It was more like complete the code and make it working rather than program the core steps of pseudo code. To conclude, this course needs some improvement but crucial ones.
By Matthew D•
The lecture material is excellent, and Dr Taylor's passion really shines through when presenting the material. Although I was familiar with most of the topics presented, and well versed in Matlab, the assignments were a struggle as there is no access to Matlab online as there was with the aerial robotics module. The trouble is that some of the code is not copy-paste compatible with octave, and without a proper debugger it ended up taking much longer than it should have ironing out very basic bugs. Referring to the week 4 assignment, It is not reasonable to expect one to complete this assignment without even being able to plot the output to see what is going wrong. The assignments are structured such that a unique solution is required, and this does not encourage one to really delve deeply into the material. I suggest the course staff review the material in 'Modern Robotics', as the assignments such as the RRT method were in my opinion done exceptionally well there.