This course is part of the Robotics Specialization

4.5
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2,922 ratings

Vijay Kumar

124,574 already enrolled

Offered By

Robotics SpecializationUniversity of Pennsylvania

About this Course

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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.

Flexible deadlines

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Shareable Certificate

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Course 1 of 6 in the

Robotics Specialization

Approx. 18 hours to complete

English

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Skills you will gain

Motion Planning
Robotics
Quadcoper
Matlab

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 1 of 6 in the

Robotics Specialization

Approx. 18 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.59/5 (300 Ratings)

Vijay Kumar

Nemirovsky Family Dean of Penn Engineering and Professor of Mechanical Engineering and Applied Mechanics

School of Engineering and Applied Science

124,662 Learners

2 Courses

Offered by

University of Pennsylvania

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Syllabus - What you will learn from this course

Content Rating89%(10,948 ratings)

Week

Week 1

3 hours to complete

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.

3 hours to complete

16 videos (Total 74 min), 4 readings, 2 quizzes

16 videos

Unmanned Aerial Vehicles7m

Quadrotors3m

Key Components of Autonomous Flight1m

State Estimation7m

Applications3m

Meet the TAs52s

Basic Mechanics4m

Dynamics and 1-D Linear Control10m

Design Considerations3m

Design Considerations (continued)4m

Agility and Maneuverability7m

Component Selection4m

Effects of Size4m

Supplementary Material: Introduction3m

Supplementary Material: Dynamical Systems3m

Supplementary Material: Rates of Convergence3m

4 readings

Setting up your Matlab programming environment10m

Matlab Tutorials - Introduction to the Matlab Environment10m

Matlab Tutorials - Programming Basics10m

Matlab Tutorials - Advanced Tools10m

2 practice exercises

1.130m

1.230m

Week

Week 2

5 hours to complete

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.

5 hours to complete

19 videos (Total 117 min)

19 videos

Transformations16m

Rotations4m

Euler Angles12m

Axis/Angle Representations for Rotations14m

Angular Velocity9m

Supplementary Material: Rigid-Body Displacements6m

Supplementary Material: Properties of Functions3m

Supplementary Material: Symbolic Calculations in Matlab4m

Supplementary Material: The atan2 Function2m

Supplementary Material: Eigenvalues and Eigenvectors of Matrices5m

Supplementary Material: Quaternions2m

Supplementary Material: Matrix Derivative1m

Supplementary Material: Skew-Symmetric Matrices and the Hat Operator4m

Formulation3m

Newton-Euler Equations6m

Principal Axes and Principal Moments of Inertia6m

Quadrotor Equations of Motion5m

Supplementary Material: State-Space Form4m

Supplementary Material: Getting Started With the First Programming Assignment3m

1 practice exercise

2.130m

Week

Week 3

5 hours to complete

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.

5 hours to complete

9 videos (Total 65 min)

9 videos

2-D Quadrotor Control8m

3-D Quadrotor Control7m

Time, Motion, and Trajectories9m

Time, Motion, and Trajectories (continued)9m

Motion Planning for Quadrotors12m

Supplementary Material: Minimum Velocity Trajectories from the Euler-Lagrange Equations2m

Supplementary Material: Solving for Coefficients of Minimum Jerk Trajectories5m

Supplementary Material: Minimum Velocity Trajectories3m

Supplementary Material: Linearization of Quadrotor Equations of Motion5m

1 practice exercise

330m

Week

Week 4

5 hours to complete

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.

5 hours to complete

5 videos (Total 68 min)

Reviews

4.5

736 reviews

5 stars
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3 stars
4.41%
2 stars
1.84%
1 star
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TOP REVIEWS FROM ROBOTICS: AERIAL ROBOTICS

by UMApr 7, 2019

The course is very good and is designed such that even beginners can get a good grasp on the content that is made available. The discussion forums are great and help in making life easier.

by CEFeb 11, 2016

Well balanced mix of theory and practical applicability. Explanation of the material is also very good.

The assignments are nicely built on the taught material to stimulate understanding.

by LSDec 25, 2017

The final coding assignment is hard and time consuming. Need more experience and knowledge before taking this course. However, I got through and learned quite a lot from this course.

by YUSep 14, 2017

Good segue from a hardware modeling to a control design. I learned a control theory in university, but had no idea about how to implement to actual device. This course describes it.

View all reviews

About the Robotics Specialization

The Introduction to Robotics Specialization introduces you to the concepts of robot flight and movement, how robots perceive their environment, and how they adjust their movements to avoid obstacles, navigate difficult terrains and accomplish complex tasks such as construction and disaster recovery. You will be exposed to real world examples of how robots have been applied in disaster situations, how they have made advances in human health care and what their future capabilities will be. The courses build towards a capstone in which you will learn how to program a robot to perform a variety of movements such as flying and grasping objects.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Robotics: Aerial Robotics

About this Course

Skills you will gain