Autonomous Navigation for Flying Robots

Autonomous Navigation for Flying Robots

Map Unavailable

Date/Time
Date(s) - 05/05/2015 - 05/07/2015
12:00 am

Categories


Overview


About This Course

In recent years, flying robots such as miniature helicopters or quadrotors have received a large gain in popularity. Potential applications range from aerial filming over remote visual inspection of industrial sites to automatic 3D reconstruction of buildings. Navigating a quadrotor manually requires a skilled pilot and constant concentration. Therefore, there is a strong scientific interest to develop solutions that enable quadrotors to fly autonomously and without constant human supervision. This is a challenging research problem because the payload of a quadrotor is uttermost constrained and so both the quality of the onboard sensors and the available computing power is strongly limited. 

This course will introduce the basic concepts for autonomous navigation for quadrotors. The following topics will be covered:

  • 3D geometry,
  • probabilistic state estimation,
  • visual odometry, SLAM, 3D mapping,
  • linear control.

In particular, you will learn how to infer the position of the quadrotor from its sensor readings and how to navigate it along a trajectory.

The course consists of a series of weekly lecture videos that we be interleaved by interactive quizzes and hands-on programming tasks. For the flight experiments, we provide a browser-based quadrotor simulator which requires the students to write small code snippets in Python.

This course is intended for undergraduate and graduate students in computer science, electrical engineering or mechanical engineering. This course has been offered by TUM for the first time in summer term 2014 on EdX with more than 20.000 registered students of which 1400 passed examination. The MOOC is based on the previous TUM lecture “Visual Navigation for Flying Robots” which received the TUM TeachInf best lecture award in 2012 and 2013.

See the trailer:


Course Objective

After successful participation of this module, students will be able to

  • Understand the flight principles of quadrotors and their application potential
  • Specify the pose of objects in 3D space and to perform calculations between them (e.g., compute the relative motion)
  • Explain the principles of Bayesian state estimation
  • Implement and apply an extended Kalman filter (EKF), and to select appropriate parameters for it
  • Implement and apply a PID controller for state control, and to fine tune its parameters
  • Understand and explain the principles of visual motion estimation and 3D mapping

Targeted Audience

This course is intended for undergraduate and graduate students in computer science, electrical engineering or mechanical engineering.

Prerequisites

Proficient in linear algebra and 3D geometry. Basic python programming skills.


Course teachers

bio for Jürgen SturmJürgen Sturm

Daniel CremersDaniel Cremers

Christian KerlChristian Kerl


ORGANISATION AND EVALUATION


Image: edX                           Source: edX                                     (Wailt for future session) Go to Class


 

20 Comments

  1. This is the perfect blog for everyone who wishes to understand this topic.
    You realize a whole lot its almost tough to argue with you (not that I
    personally will need to…HaHa). You definitely put a new
    spin on a topic that’s been written about for ages. Excellent stuff, just excellent!

  2. Good day I am so happy I found your blog page, I really found
    you by error, while I was searching on Digg for something else, Nonetheless I am here now and would just
    like to say thanks for a tremendous post and a all
    round entertaining blog (I also love the theme/design), I don’t have time
    to go through it all at the minute but I have bookmarked it
    and also added in your RSS feeds, so when I have time I will be back to read more,
    Please do keep up the fantastic job.

  3. I think what you composed was very reasonable.
    But, what about this? what if you were to write a awesome post title?
    I ain’t saying your content isn’t good., however what if
    you added a title that makes people desire more? I mean Autonomous Navigation for
    Flying Robots | Robot Globe is kinda plain. You could peek at Yahoo’s home page and note how they create article titles to grab
    people to click. You might add a related video or a picture or two to get readers interested about everything’ve got to say.
    In my opinion, it would bring your posts a little bit more interesting.

  4. Hmm is anyone else having problems with the
    pictures on this blog loading? I’m trying to find out if itts a problem on my end or if it’s
    the blog. Any feed-back would be greratly appreciated.

  5. It’s a shame you don’t have a donste button! I’d without a doubt donate to this superb blog!
    I guewss for now i’ll settle for book-marking aand adding your RSS feed to my Googloe
    account. I look forward to brand new updates and wiull share thios website with mmy
    Facebook group. Chat soon!

  6. Thanks for some other informative website. Where else could I am getting that kind of information written in such a perfect way?
    I’ve a venture that I’m just now working on, and I have been at
    the glance out for such information.

  7. Admiring the dedication you put into your site and
    detailed information you present. It’s good to
    come across a blog every once in a while that
    isn’t the same old rehashed material. Great read! I’ve bookmarked your
    site and I’m adding your RSS feeds to my Google account.

  8. I pay a quick visit daily a few websites and information sites to read content,
    however this weblog provides quality based writing.

  9. This excellent website certainly has all the information and facts I wanted about
    this subject and didn’t know who to ask.

  10. I like it when individuals come together and share ideas.
    Great blog, stick with it!

  11. I do agree with all of the ideas you’ve introduced in your post.
    They are really convincing and will definitely work.
    Nonetheless, the posts are too brief for starters.
    Could you please prolong them a little from next time? Thanks for the post.

  12. This web site trruly has all the info I needed concerning this subject and didn’t
    know who to ask.

Comments are closed.