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Robotics: Aerial Robotics, University of Pennsylvania

Оценки: 1,790
Рецензии: 477

Об этом курсе

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....

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автор: IT

Oct 23, 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

автор: ST

Jun 09, 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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Рецензии: 456

автор: Sathivada Chetan Kiran Sai

Nov 25, 2018

Firstly. I thank Mr Vijay Kumar and his team to take time & efforts on preparing the material which is structure perfectly for a beginner like me.

Secondly for giving us explicit videos and materials for the research carried out on drones especially quadrotors at Penn State University, this not only helped me with the course for which I had liking, but has also opened up options for master program in your prestigious university.

Lastly, I thank all the students who have been active on the forum to respond on issues faced in programming assignments. Thank you all, happy learning.

автор: vamsi venkat

Nov 24, 2018

A little mode like a demo video to integrate all the systems and make the video could help as a supplementary material to work on their own.

автор: Steve Anderson

Nov 10, 2018

Course is very incomplete.

автор: Siddhant Yeole

Nov 08, 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.

автор: pavana abhiram Sirimamilla

Nov 05, 2018

Very good course. Prof. Kumar teaches in a lucid manner and the supplementary material is really helpful. One suggestion is that there could be one assignment on working with ode45 function and solving hte ODEs. This was mostly given in all the assignments.

автор: Bernard WELMANT

Oct 15, 2018

I my opinion to much focused on mathematics & matlab use , lot of time wasted in PD tuning .

автор: Andrew Wihler

Oct 14, 2018

Very interesting and very well prepared. I appreciate the instructors carefully constructed explanations and clarity. I understood there were no technical prerequisites required to take this course, but the material is not easy anyone lacking a science (e.g. engineering) background.

I was required to study the material and pull out my old text books to refresh on most of the topics. Also without any basic linear algebra and Matlab knowledge, the course could be very challenging.

автор: Parth Thakkar

Oct 13, 2018

Good content. Good community. Quality Assignments.

автор: Fredo P. Chavez

Oct 12, 2018

The course was challenging for me yet fun and fullfilling!

автор: Luis Antonio Dominguez Ramirez

Oct 07, 2018

Great course, but demands good math and programming skills.