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Kursteilnehmer-Bewertung und -Feedback für Robotics: Aerial Robotics von University of Pennsylvania

2,566 Bewertungen
660 Bewertungen

Über den Kurs

How can we create agile micro aerial vehicles that are able to operate autonomously in cluttered indoor and outdoor environments? You will gain an introduction to the mechanics of flight and the design of quadrotor flying robots and will be able to develop dynamic models, derive controllers, and synthesize planners for operating in three dimensional environments. You will be exposed to the challenges of using noisy sensors for localization and maneuvering in complex, three-dimensional environments. Finally, you will gain insights through seeing real world examples of the possible applications and challenges for the rapidly-growing drone industry. Mathematical prerequisites: Students taking this course are expected to have some familiarity with linear algebra, single variable calculus, and differential equations. Programming prerequisites: Some experience programming with MATLAB or Octave is recommended (we will use MATLAB in this course.) MATLAB will require the use of a 64-bit computer....


22. Okt. 2017

The course is very good.\n\nThe classes are well taught and show general concepts. It is necessary to do research on the internet, to solve the assignments. This is not a bad thing in my point of view

8. Juni 2018

I think this is very good course of aerial robotics research. Being a student of robotics, I feel that some of stuffs in this course needs a good background in control and mechanical engineering.

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526 - 550 von 639 Bewertungen für Robotics: Aerial Robotics

von Deleted A

21. Sep. 2016

Very nice introductory course on aerial robotics.

von Abd-El-Rahman M F

14. März 2016

it's need more explanation and specific resources

von Muhammad A

7. Aug. 2020

More linear Algebra and Matlab tutorials needed

von Ankit S

15. Juni 2020

It was awesome. But somewhere it was confusing.

von Amrtanshu R

4. Okt. 2017

Assigments to be a bit more clear explained

von Barak R

16. Feb. 2020

second assignment is not well explained.

von Anushka A

10. Okt. 2019

Very thorough, neat and well explained.

von Vishnu T

31. Juli 2019

Very Challenging but taught me a lot

von Vishal G

14. Juni 2019

This Is the best course on coursera.

von Eric S

30. Sep. 2016

Final Assignment was very unclear


1. Juni 2017


von Carlos M

7. Aug. 2016

Recién empecé. Pinta bien!

von balagopal p k

10. März 2016

Mind Blowing course...!!!

von primejack

24. Okt. 2020

A bit hard for beginners

von Rajat S

20. Dez. 2019

it was really worth it.

von Muhammed A E f a

18. Feb. 2017

it is so awesome course

von Ketha J S

21. Apr. 2019

Excellent Course.

von Fabio B

26. Juni 2017

Very good course!

von Yug A

6. Juli 2019

Awesome course !

von Joel N

24. Jan. 2016

Excelente curso

von Ahmed m a a f

3. März 2019

thank you

von Mauro S Q C

15. März 2016

Very good

von Naveen k

22. Dez. 2017


von Francesco V

7. März 2016

the course and the lessons are really interesting and the professor is explaining really well. Especially nice are all the videos demonstrating what have been done so far.

Problem are the assignments:

-all the assignments are about controlling a quadrotor, but a matlab code 95% done is already provided and most of the times the only thing requested is to spend days in find (randomly) the correct values for the controller gains;

-the last assignment is again partly about (randomly) looking for gain values and partly about generating a trajectory as a piecewise 7th order polynomial, where the method for creating such thing is only mentioned in the assignment pdf and with wrong conditions. Even with the correct conditions, with a previous knowledge of numerical methods you can go through it, but otherwise it takes quite some time;

-the grade is not set properly.. you either take 0points or the maximum, meaning that for just passing the assignment you have the same difficulty as getting full marks.. if you arrive (after days of trial and error) to the point of passing the assignment, then you can easily get full grade with small changes.. which makes no sense;

-the explanatory pdf for the assignments or the provided codes some times contain errors, and I don't understand why they are not fixed considering that this course is already the second time that was provided;

-the assignments are fully based on matlab and to actually understand something it is required quite a deep knowledge of how to use it.. I work daily with matlab and had some difficulties in following what it is done. If somebody is new to matlab, it will be quite difficult to do even the easier tasks;

-the evaluation function for the last assignment is extremely slow.. it took me 40minutes to evaluate the results.. and considering the many iterations usually required for (randomly) finding the gains this really doesn't help.

Summarising I am quite happy about this course and glad to have done it, but please fix the many problems in the assignments. I have taken many courses online in different platforms and this was so far the most time consuming one..

von Sj

15. Feb. 2016

Overall good course that would definitely make you spend more time reading and learning on the side. Would recommend it those who have good background in college level math like Linear Algebra and a little bit of Robotics Background from a Math perspective - like working with translations, rotations, transformation matrices of that sort to make the transition easier. (There are basic robotic courses online to help with that, like Peter Corke's course). But overall this course requires some significant effort to explore the material from an external perspective.

Some issues however -

1. Lack of added resources like reading material to support the course and help advanced students go beyond the course themselves.

2. Severe lack of activity from TA(s) on the forums. It's good that students get to interact among themselves and learn on their own, but every single post should be either answered by a TA to clarify doubts or they should acknowledge that another student's explanation was good enough to answer a particular question.

3. The in-video quizzes weren't up-to-the-mark as per me. One question asked "why" and the answer was literally "because that's how that algorithm is".

4. This is a trend in MOOCs and I don't think it can be helped, but perhaps more assignments that help understand the concepts better with examples would help students go beyond. If this course had such optional assignments that would be great for understanding the concepts with a more hands-on approach. But this is probably not the best platform to do so.

Overall would recommend future iterations of this course, especially if the first two points above are improved upon.