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Avis et commentaires pour d'étudiants pour Robotics: Aerial Robotics par Université de Pennsylvanie

2,859 évaluations

À propos du cours

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....

Meilleurs avis


22 oct. 2017

The course is very good.

The 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 juin 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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51 - 75 sur 697 Avis pour Robotics: Aerial Robotics

par Ivan Š

7 sept. 2016

A very useful course. I like the model of a quadrotor very much. I also like that the professor shares their research papers and PhDs. The only thing I don't like are the changes in notation in different lessons / programming exams (this goes for "des" variables"). In addition, the supplementary materials, should be read by some one with a little bit less pitch in the voice :P

par Arct J A Z

18 mars 2020

It showcased the hardball of the game. It opened my eyes that robotics is not just a combination of inputs and outputs but also tons of tribulations in control theory and 3D mechanics. It is freakin' hard to get used to the new concepts and notations, but its a good eye-opener. I suggest for the learners to learn the prerequisites first and don't cram this course.

par Malinda E

4 juil. 2017

A Practical Introduction to Robotics in General! It might take more than 3 hours for a novice to complete assignments towards the later part of the course. Especially when it comes to tuning gains. Discussions section will aid tremendously if used wisely. The course material covered was FUN and interesting! I enjoyed this course as a refresher for MATLAB as well.

par mukund s

28 sept. 2020

This course gives a very good overview to aerial robotics and assignments are quite rigrous and ta's are helpful .I am grateful to coursera and Prof Vijaykumar and his team for providing such good content online.I would recommend beginners to follow some standard book alongside this course to get idea about the basics in robotics to develope a good foundation.

par ChanYoung H

3 févr. 2020

This lecture is fascinating to me. It has lot of material which is involved in about autonomous moving system with IMU and Camera. It' not just assemble part of drone. you can learn about drone air-dynamic mechanics and c code expression though the using matlab tool.

i highly recommend this lecture for learner who has interest about UAV autonomous system.

par Andrés A L

4 sept. 2019

Excellent course. You can get enough information about control applied for aerial robotics, keeping the trade-off between theory and practice. The course becomes more challenged as time passes, as the assignments are more complex. The last assignment should be more oriented, as I spent almost three weeks trying to figure out how to deal with it. Thanks

par Kim K L

8 mars 2017

A brilliant course and very interesting course. Very well taught! The combination of fundamentals and matlab exercises are just right (although cannot help to thinking that there must be a better way to choose Kp and Kv than what I ended up doing .. trial & error ... you will know what I talk about if you take the course! ;-).

par Rohit K

27 mars 2020

The course was very interesting and helpful. Had a lot of fun solving problems both on paper and on MATLAB. Programming assignment were too intriguing and challenging but had great satisfaction when coming to a solution. I will continue learning more courses on Robotics designed by University of Pennsylvania through Coursera.

par shen2f

5 juil. 2016

The courses and assignments are so great! Courses include a whole flow of learning robotics, from kinematics to dynamics and from motion control to trajectory planning. The concepts may be difficult to follow, but professor Kumar and TAs really make it easy for me. Really recommended to those who are interested in robotics!

par King

29 juil. 2016

This is the first mooc I learned completely , I have learned a lot and I have to say the course ignited my inspiration in aerial robot. At last , I hope the course can provide more specific detail about how to make the robot and I am fascinated with this. Thanks to Professor Vijay Kumar and Thanks to Penn university.

par Carlo N

18 août 2019

Very good course especially for the university students.

Yes, it is a basic course, but it contains very interesting exercises and the theory is very well explained.

Personally, I recommend this course to every one who study aeronautical engineering, mechanical engineering, informatics or controls and systems design.

par Maksym B

26 déc. 2019

Great course! It has challenging assignments related to control of the quadrotor. I like the idea of the next assignment being similar to the previous one but getting more complex. The lectures are good as well, the material is pretty deep. It would be great to have more supplementary material for each topic.

par Naveen

8 juil. 2016

One of the best courses to pursue in the field of Robotics. The course is well-structured in terms of both the lectures and the assignments. It covers kinematics, dynamics, control, and trajectory planning in a short span of four weeks and also provides an opportunity to test the ideas in the simulation.

par Hitesh M T

26 nov. 2016

Very encouraging and challenging with lot of learning on the way. Dr. Vijay and his colleagues have made this course sufficient in information and resources required for the course. I feel privileged to be a part of this course. I will try to implement these learning in my professional work. Thank You

par Sayan

6 déc. 2020

Very interesting and exciting course. The math work requires focus and attention and especially if you are from a non-engineering background. Thoroughly enjoyed it, was challenging but perseverance and dedication won!!! Thanks to the excellent and active discussion forums and the TAs for helping out.

par Troy W

22 janv. 2016

So far the best course available online, almost research level. I have never done anything UAV, but I am a researcher for many years. I finish the material within 1 week (not full time). I assume it would be possible for average senior undergraduate student to finish with 4 weeks of intensive study.

par Shashank N

15 nov. 2020

This was an excellent course on how to control drones. I got in-depth knowledge about trajectory planning and motion control of drones with the math so simply explained. I have been an enormous admirer of Professor Vijay Kumar and his work on aerial robotics and this massively helped my internship

par Dj S

7 mars 2016

Wow!!!Great course. Should add Matlab and understanding of basic Calculus to the prerequisites for those not familiar with those concepts. The sidebar videos helped refresh concepts for those of us not in an Engineering program, but have had the material before. Can't wait for the next classes!!

par Ambagahage Y C J

6 févr. 2016

This course was very helpful and facilitated me to understand the theories i learned with the applications.The course materials were very effectively planned and the assignments were very effective to gain the understanding what was taught in the lectures.I highly recommend this course..*******

par Beili L

21 juil. 2017

I really enjoyed this course. I thought the material was interesting and the programming assignments were challenging but achievable. The assignments used the lecture materials, so that you had a solid basis to start, but also went further so that you could stretch yourself a little.

par Bharath C

10 déc. 2019

The course was very informative and carried out in a very organized manner. The lectures are presented with good content and are easily comprehensible. But, the content of Week-4 must be made more understandable. As a beginner, I had a difficult time understanding those lectures.

par Richard M

18 mai 2017

This is the first online course I've taken and I have to say I'm extremely impressed. Dr. Kumar and his aides have done an impressive job of teaching in a clear fashion the things you need to know (and know how to do!) to produce autonomous flight with a drone.

Very well done!

par Natnael G T

26 août 2018

This is very interesting course which makes me to think about a lot of technological advancement and makes to love my department meaning Electro-Mechanical engineering and i would gladly like to suggest all electrical and mechanical engineering student to take this course.

par James H

14 févr. 2016

I loved this course. I particularly enjoyed the programming assignments, which taught me a great deal and were extremely satisfying. It is terrific to see a truly rigorous, mathematical engineering course on Coursera. I will gladly sign up for the next course in the series.

par Siddhant Y

8 nov. 2018

The course is informative and thorough. Professor Kumar does a brilliant job of explaining all the concepts as thoroughly within the permitted time. The supplementary videos are extremely helpful in understanding all the calculations and derivations in the course videos.