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 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.
Created by: University of Pennsylvania
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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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| Commitment | 4 hours/week |
| Language |
English
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| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
4.5 stars
Average User Rating 4.5See what learners said
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