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Artificial Intelligence for Robotics

Class Summary

Learn how to program all the major systems of a robotic car from the leader of Google and Stanford's autonomous driving teams. This class will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars.

What Should I Know?

You should either already know Python, or have enough experience with another language to be confident you can pick up what you need on your own. Fortunately, Python was built to be easy to learn, read, and use. If you already know another programming language, you'll be coding in Python in less than an hour. Additionally, knowledge of probability and linear algebra will be helpful.

What Will I Learn?

This course will cover probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics.

Introduction

Welcome to Artificial Intelligence for Robotics, also called "Programming a Robotic Car"!
Don't forget to check out the forum if you have any questions, and to check out wiki for course notes, additional explanations, examples and extra materials!

Uploaded on Feb 19, 2012

Other units in this course below:
Unit 1: http://www.youtube.com/playlist?list=...
Unit 2: http://www.youtube.com/playlist?list=...
Unit 3: http://www.youtube.com/playlist?list=...
Unit 4: http://www.youtube.com/playlist?list=...
Unit 5: http://www.youtube.com/playlist?list=...
Unit 6: http://www.youtube.com/playlist?list=...
Q&A: http://www.youtube.com/playlist?list=...

To gain access to interactive quizzes, homework, programming assignments and a helpful community, join the class athttp://www.udacity.com

What most schools don't teach

Code.org/ is a non-profit foundation dedicated to growing computer programming education. Our goals include:

Spreading the word that there is a worldwide shortage of computer programmers, and that it's much easier to learn to program than you think.
Building an authoritative database of all programming schools, whether they are online courses, brick+mortar schools or summer camps.

Our vision is that every student in every school has the opportunity to learn how to code. We believe computer science and computer programming should be part of the core curriculum in education, alongside other science, technology, engineering, and mathematics (STEM) courses, such as biology, physics, chemistry and algebra.