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Robotics

Aerial Robotics

This course is a part of Robotics, a 7-course Specialization series from Coursera.

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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University of Pennsylvania

Rating 4.2 based on 487 ratings
Length 5 weeks
Effort 4 hours/week
Starts Jun 29 (3 weeks ago)
Cost $49
From University of Pennsylvania via Coursera
Instructor Vijay Kumar
Download Videos On all desktop and mobile devices
Language English
Subjects Engineering Mathematics
Tags Physical Science And Engineering Mechanical Engineering Math And Logic

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What people are saying

According to other learners, here's what you need to know

aerial robotics in 28 reviews

Guys, anyone has solution for programming assignments for aerial robotics?

Excellent Course to learn the fundamentals of Aerial Robotics!

Advance course with minimum prerequisite I think this is very good course of aerial robotics research.

Excellent course for beginners in the area of Aerial robotics .

I think this course is quite beneficial for beginners on aerial robotics.

Overall a very good course on Aerial Robotics.

very informative course An excellent introductory course to aerial robotics.

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discussion forum in 12 reviews

Also, in the discussion forum, I haven't received answer to the questions that I'm posting(since right now it's holiday season, I can exempt them from not replying).

On the down side, there is no TA presence in the discussion forum.

The only problem is that I didnt get answers to questions i posted on the discussion forum.

Great intoduction for Quadrotor Best robotics starter course... this course is very useful and interesting , but there are not enough help from mentors in the discussion forum !!

Discussion forum is best tool if you get stuck somewhere.

I had to watch the videos several times to get some topics, read slides and discussion forum.

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linear algebra in 11 reviews

I had to study Linear algebra, 3D mechanics first to understand this.

The only thing I'd say is that the prerequisite for this course is really high, much higher than the course is advertised as, and I spent reviewing concepts in linear algebra (for example) almost more or as much as I did spending time on understanding how things work in aerial robotics.

I found myself dusting off my old linear algebra texts and matrix math notes.

Keep in mind if you do this course, you had better be comfortable with calculus, linear algebra, vector math/mechanics and it would be helpful to have a head start in Matlab.

only recommended for those who have knowledge in linear algebra and calculus The quiz and assignment are poorly designed.

A great course, though it's recommended that you have some basic experience in linear algebra before taking it.

Check out Gilbert Strang's Linear Algebra, Sebastian Thrun's Artificial Intelligence for Robotics and Andrew Ng's Machine Learning for examples of good derivations of mathematically sophisticated material.

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vijay kumar in 9 reviews

I thanks to coursera and professor vijay kumar to share a valuable khowledge to me.

I thank Mr. Vijay Kumar for this great courses.

Thanks to Professor Vijay Kumar and Thanks to Penn university.

Thanks Professor Vijay Kumar and support team.

I have a degree in philosophy and two master's degree in physics and statistics, but I have learned a lot - though with many night study hours - thanks to the support of prof. Vijay Kumar of the teaching team.

The presentation were very clear and Prof. Vijay Kumar is excellent when explaining every detail of the course.

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.

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trajectory planning in 8 reviews

For example, it could be stated, early in the controls part *and in context*, that trajectory planning (which will be dealt with later), would yield a reference trajectory for which a controller is being implemented.

The hands on experience on the Quadcopter Simulators on the MATLAB helped us understand the control concepts behind Motion and Trajectory Planning.

Courses include a whole flow of learning robotics, from kinematics to dynamics and from motion control to trajectory planning.

There is a good room for improvement though:1- More time should be spent on 3D quadrotor control2- Trajectory planning was not completely explained; importantly 2d and 3d need a lot more attention with focus on solving for minimum snap trajectory3- TA support was almost unavailable.

An excellent course for those who interested to acquire a basement in the field of robotics This course covered a lot of material, provided a well-rounded intro to the physics of 3D motion in the quad rotor context, included excellent supplemental videos to explain some of the tough mathematical concepts, and included well-designed practical assignments.The bridge between lecture and assignment, particularly the trajectory planning question in the last assignment, could be refined as the course iterates, although the material I found myself struggling through that very tough problem may be that which I retain most from this class.Over all an excellent class, and I'm looking forward to the rest of the series.

It covers most of the topics related to drone control algorithms and trajectory planning.

trajectory planning) was very tricky.

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very interesting course in 7 reviews

A brilliant course and very interesting course.

Very interesting course a great start for an specialization It is very useful for design engineers.....but have maths as pre requiste Recién empecé.

But if you truly like robotics, and specially, aerial robotics, this course for you.Personally for me - this is a course, which I was looking for a long time Very interesting course, with some toothing problems and unrealistic timescales for many.For me, it would have been impossible to complete the course without the support of some extremely bright and helpful classmates, active in discussion fora (almost a given in a MOOC, but nevertheless, a course should be designed such that one could complete it without the fora).

best regards Giorgi Gvasalia Very interesting course.

Very interesting course.

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.

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Coursera

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University of Pennsylvania

Rating 4.2 based on 487 ratings
Length 5 weeks
Effort 4 hours/week
Starts Jun 29 (3 weeks ago)
Cost $49
From University of Pennsylvania via Coursera
Instructor Vijay Kumar
Download Videos On all desktop and mobile devices
Language English
Subjects Engineering Mathematics
Tags Physical Science And Engineering Mechanical Engineering Math And Logic

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