Autonomous Navigation for Flying Robots

0 votes
Free
Autonomous Navigation for Flying Robots

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. 



In this course, we 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.



FAQ



Do I need to buy a textbook?



No, all required materials will be provided within the courseware. However, if you are interested, we recommend the following additional materials:




  1. This course is based on the TUM lecture Visual Navigation for Flying Robots. The course website contains lecture videos (from last year), additional exercises and the full syllabus: http://vision.in.tum.de/teaching/ss2013/visnav2013

  2. Probabilistic Robotics. Sebastian Thrun, Wolfram Burgard and Dieter Fox. MIT Press, 2005.

  3. Computer Vision: Algorithms and Applications. Richard Szeliski. Springer, 2010.



Do I need to build/own a quadrotor?



No, we provide a web-based quadrotor simulator that will allow you to test your solutions in simulation. However, we took special care that the code you will be writing will be compatible with a real Parrot Ardrone quadrotor. So if you happen to have a Parrot Ardrone quadrotor, we encourage you to try out your solutions for real.


Categories: Engineering
Starts : 2015-05-05

Comments

Alternatives

-- no alternatives found for the course --
If you know any alternatives, please let us know.

Prerequisites

-- no prerequsites found for the course --
If you can suggest any prerequisite, please let us know.

Paths

No Paths inclusing the course. You can build and share a path with this course included.

Certification Exams

-- there are no exams to get certification after this course --
If your company does certification for those who completed this course then register your company as certification vendor and add your exams to the Exams Directory.

Students

People who learned this course or plan to learn. These people added the course to their Education Passport or their Personal Education Path.

Robert Holford

If you learned this course or plan to learn then add it to your Personal Education Path or your Education Passport

Similar courses

Courses related to the course subject

《Java程序设计》课程是使用Java语言进行应用程序设计的课程,针对各专业的大学本科生开设。课…

4G is the cutting-edge network technology that links millions of smartphones to the internet. But how does it actually work? Ideal…

SQL is the language of all databases, this course offers an easy way to master the SQL fundamentals…

Have you ever wondered how information is transmitted using your mobile phone or a WiFi hotspot? This introductory course seeks to…

Have you ever wondered how information is transmitted using your mobile phone or a WiFi hotspot? This introductory course seeks to…

Have you ever wondered how information is transmitted using your mobile phone or a WiFi hotspot? Gain an understanding of the basi…

DevOps is the union of people, process and products to enable the continuous delivery of value to end users. It is not only about…

En este curso trabajarás la definición, el desarrollo y el cierre de un proyecto de Tecnologías de la Informaci&oac…

This is a graduate course on the design and analysis of algorithms, covering several advanced topics not studied in typical introd…

Gain a deeper understanding of Spark by learning about its APIs, architecture, and common use cases. This statistics and data ana…

Let us know when you did the course Autonomous Navigation for Flying Robots.

Started on: Completed on:
Your grade (if any):
Comments:

Add the course Autonomous Navigation for Flying Robots to My Personal Education Path.

Start the course on:
Duration of study:
Notes:

Successfully added to your path.

View your path

Select what exam to connect to the course. The course will be displayed on the exam page in the list of courses supported for certification with the exam.


Notes about how the exam certifies students of the course (optional):