Robotics: Aerial Robotics

Name: Robotics: Aerial Robotics
Rating: 3.9 (10 reviews)

University of Pennsylvania via Coursera

Go to class Write review

Details

Go to class

Provider

Coursera
Pricing

Free Online Course (Audit)
Languages

English
Certificate

Paid Certificate Available
Duration & workload

4 weeks long, 18 hours worth of material
Sessions
Subtitles

Arabic, French, Portuguese, Italian, German, Russian, English, Spanish, Chinese

Found in

Part of

Robotics

1.0

Overview

Class Central Tips

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.

Syllabus

Introduction to Aerial Robotics

Welcome to Week 1! In this week, you will be introduced to the exciting field of Unmanned Aerial Robotics (UAVs) and quadrotors in particular. You will learn about their basic mechanics and control strategies and realize how careful component selection and design affect the vehicles' performance. This week also provides you with instructions on how to download and install Matlab. This software will be used throughout this course in exercises and assignments, so it is strongly recommended to familiarize yourself with Matlab soon. Tutorials to help you get started are also provided in this week.

Geometry and Mechanics

Welcome to Week 2 of the Robotics: Aerial Robotics course! We hope you are having a good time and learning a lot already! In this week, we will first focus on the kinematics of quadrotors. Then, you will learn how to derive the dynamic equations of motion for quadrotors. To build a better understanding on these notions, some essential mathematical tools are discussed in supplementary material lectures. In this week, you will also complete your first programming assignment on 1-D quadrotor control. If you have not done so already, please download, install, and learn about Matlab before starting the assignment.

Planning and Control

Welcome to Week 3! We have developed planar and three-dimensional dynamic models of the quadrotor. This week, you will learn more about how to develop linear controllers for these models. With this knowledge, you will be required to complete the second programming assignment of this course, which focuses on controlling the quadrotor in two dimensions. We encourage you to start working on the assignment soon. This week ends with a discussion on motion planning for quadrotors.

Advanced Topics

Welcome to Week 4! So far, we have gone over the basics of developing linear controllers for quadrotors and motion planning. In this last week of the course, we will discuss some more advanced material on how to enable quadrotors to perform more agile maneuvers and to operate autonomously in teams. Note that the last programming assignment on quadrotor control in three dimensions uses material from the previous weeks. It is strongly recommended to start the assignment as soon as possible.

Taught by

Vijay Kumar

Reviews

3.9 rating, based on 10 Class Central reviews

4.5 rating at Coursera based on 2940 ratings

Start your review of Robotics: Aerial Robotics

Anonymous

Anonymous completed this course.

Although this course is a bit short I learned a lot with it. It begins covering an introduction to the mechanics of quadrotors and its dynamical model. After it teaches very basic PD control techniques for a quadrotor hover or follow a trajectory. Next...

Although this course is a bit short I learned a lot with it. It begins covering an introduction to the mechanics of quadrotors and its dynamical model. After it teaches very basic PD control techniques for a quadrotor hover or follow a trajectory. Next they present a nonlinear controller very stable through many extreme initial conditions, presenting also how to control a quadrotor using its differential flatness property.
At the end they mention very superficially their techniques regarding multiple quadrotor control, collision avoidance, SLAM.
I found only the last programming assingment challenging and think that there could be more more programming assignments on the later topics of the course.
UPenn has probably the most experienced and skilled staff in Quadrotors subject in the world.
Anonymous

Anonymous completed this course.

Guys, anyone has solution for programming assignments for aerial robotics?
I am not getting the results.
I would be really thankful If anyone can help me
Anonymous

Anonymous completed this course.

At the begging of the course, it was effortless to understand and ask questions. After a little while, we were supposed to use a program called Matlab. This program was required to complete the course. I was not able to find this program throughout the course. Due to this, I had to pay for it using out of pocket money. When I would ask questions in the feed, I would get zero responses. That caused me to have to take the course twice to pass it.

Do not take this course.
Alex Ivanov

Alex Ivanov completed this course.
MOHAMED LAMINE THIAM

MOHAMED LAMINE THIAM completed this course.
Akkas Uddin Zeeshan

Akkas Uddin Zeeshan completed this course.
Alexander Todorov @todoshka

Alexander Todorov completed this course.
Abhilash Vj

Abhilash Vj completed this course.
Jan Tatham

Jan Tatham completed this course.
Mauro Lacy @maurolacy

Mauro Lacy completed this course.