About this course: 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 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.
Taught by: Vijay Kumar, Nemirovsky Family Dean of Penn Engineering and Professor of Mechanical Engineering and Applied Mechanics
School of Engineering and Applied Science
| Basic Info |
Course 1 of 6 in the
Robotics Specialization.
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| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
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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.
It was a great way to get introduced to quadrotors.
Great course in general. But after submission, student should be able to see the solutions of the problems and programming solutions.
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An excellent introductory course to aerial robotics. The lectures are comprehensive and delivered with clarity.