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Retour à Robotics: Computational Motion Planning

Avis et commentaires pour d'étudiants pour Robotics: Computational Motion Planning par Université de Pennsylvanie

956 évaluations
243 avis

À propos du cours

Robotic systems typically include three components: a mechanism which is capable of exerting forces and torques on the environment, a perception system for sensing the world and a decision and control system which modulates the robot's behavior to achieve the desired ends. In this course we will consider the problem of how a robot decides what to do to achieve its goals. This problem is often referred to as Motion Planning and it has been formulated in various ways to model different situations. You will learn some of the most common approaches to addressing this problem including graph-based methods, randomized planners and artificial potential fields. Throughout the course, we will discuss the aspects of the problem that make planning challenging....

Meilleurs avis

27 nov. 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!

2 juil. 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.)

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151 - 175 sur 237 Avis pour Robotics: Computational Motion Planning

par Shuai W

23 juin 2016

The last part is a bit boring.

Overall I like this course a lot! Thanks!

par Joaquin R

5 sept. 2018

Good course. Easy to understand and with reasonable mat lab assigments

par Nhan T

23 juin 2016

I learned a lot of brilliant techniques in this course. Thank you.

par rajas j

22 sept. 2019

Week 1 dijkstra assignment took 1month to get acess to

par SONG

4 juil. 2017

Quite good, It can be better if the content is richer

par Jeff

19 mai 2016

It is only introductory course. not a lot of content.

par Anil S

27 mars 2016

Taught me many planning algorithms in an easy way.

par Rahul N

12 juin 2017

Very useful introductory course to path planning

par Vikalp M

3 févr. 2017

assignment grading feedback can be made better.

par rao s y

14 mars 2016

Should letting us do more programming stuff.

par AMIT S P

1 sept. 2016

Good Introductory Course but can be better.

par Manikandan R

27 févr. 2016

Damn good!! and bit difficult

par Orlando B

15 mars 2016

It was a great course!!!

par Abdullah B

13 août 2016

Good but can do better.

par MAssimo S

6 sept. 2017

Basic concept course

par jinxz

28 févr. 2018

forum is useful !!!

par Fabio B

26 juin 2017

Very good course!

par Md I S

23 déc. 2017

it was great.

par Prabin K R

13 août 2018


par Sj

13 mars 2016

Overall decent course.

This course focused less on the theory aspects in the course videos, which bothered me a lot considering I am paying for it. But the explanations were still good for those algorithms.

The assignments were good as well. I liked how they made us work on them instead of the first course where we were mostly tuning parameters. Hopefully MOOCs start having challenging assignments too.

The instructor explained really well too!

I didn't really end up visiting the Discussion Forums for this course at all. So can't comment on the participation from other students or TAs.

Future Advice -

Considering how other courses offer about 1-2 hours of course videos, I think this course could offer a lot more. One assignment problem focusing on one algorithm, while having other challenging algorithms taught in those videos to be left for our own implementation would help students a lot more i believe.

par Glenn B

8 mars 2016

The material is interesting, however there is not enough information provided by the course to effectively implement the algorithms in the allotted time of each week's assignments. It relies on deferring to external reading materials as primary sources, and these resources were not specified in advance to secure copies in a timely manner.

Additionally, there is a big disconnect between the knowledge provided by the weekly material and what is required to easily do the programming assignments in the suggested time of 3 hours.

Overall the course material needs to provide more background material to be more effective in delivering the knowledge expected each week. This may be an artifact of trying to cram what other online course provide in 7-10 weeks down into 4 weeks. If the intention is to give a "flavor" in 4 weeks, then the material needs to be distilled down into more of a cookbook format.

par Manoj R

2 juin 2018

Very good overview of basic topics in Computational Motion Planning. The material is nicely and intuitively presented in short video lectures and is a rapid overview of the first 5-6 chapters in the book by Choset et. al.

Some of the assignments were too simple and required us to work on the non-critical parts of the problem. For example, only focusing on descending along gradients of artificial potential fields, instead of constructing them and seeing the effect of different types of potentials.

Also, a dominant portion of my time was spent fighting the autograder. There are tips on the forums to help deal with this but sometimes an almost-complete solution is presented by some of the earlier students in a frustrated attempt to get help with the autograder.

Many of these autograder related problems have not been addressed for many months.

par Ajinkya K

6 mars 2016

Although the course covers interesting subject areas, I feel like the various topics should have been explored to a greater depth. I understand that someone with lesser background in the relevant areas might not agree with me. But overall, I felt slightly underwhelmed by the course.

Also, the skeleton of code provided for the assignments had minor errors and the instructions for assignments were sometimes ambiguous or even incorrect as compared to what was actually required of the code. But these minor issues will most likely get resolved in subsequent offerings of the course.

par Eduardo K d S

3 août 2016

The course is ok, it touches on some interesting topics and it serves its purpose as an introductory course. Unfortunately more interesting topics are only briefly mentioned at the end of the last video. I also think the assignments can be improved, some assignments lack documentation, one of them had a coordinate system swapped from what was shown on screen and the evaluation of some assignments are quite tight, even if you have it working, unless you deliver exactly as it is expected you will fail, not to mention what is expected is sometimes blurry.

par Benjamin K

6 déc. 2017

If the course had the same information and effort as week1 over all 4 weeks i would gave 5 stars, although the assignments are pretty good and I learnt something new, however the assignments are fun but the grader is annoying as the single error output is..... something is wrong... try again?!