Free

Artificial Intelligence for Robotics

Course

Learn how to program all the major systems of a robotic car. Topics include planning, search, localization, tracking, and control.

Last Updated March 7, 2022

Prerequisites:

No experience required

Course Lessons

Lesson 1

Localization Overview

Sebastian Thrun will give you an overview of the theory behind localization!

Lesson 2

Problem Set 1

Lesson 3

Q&A 1

Lesson 4

Kalman Filters

Learn from the best! Sebastian Thrun will walk you through the usage and concepts of a Kalman Filter using Python.

Lesson 5

Problem Set 2

Lesson 6

Problem Set 2 Help

Lesson 7

Q&A 2

Lesson 8

Particle Filters

Now, Sebastian will teach you what a particle filter is and will teach the theory and math behind the particle filter.

Lesson 9

Problem Set 3

Lesson 10

Problem Set 3 Help

Lesson 11

Q&A 3

Lesson 12

In this lesson you will learn about discrete path planning and algorithms for solving the path planning problem.

Lesson 13

Problem Set 4

Lesson 14

Q&A 4

Lesson 15

PID Control

Lesson 16

Problem Set 5

Lesson 17

Problem Set 5 Help

Lesson 18

Q&A 5

Lesson 19

SLAM

Lesson 20

Problem Set 6

Lesson 21

Q&A 6

Lesson 22

Practice Exam

Lesson 23

Project - Runaway Robot

Lesson 24

The Next Step

Taught By The Best

Sebastian Thrun

Founder and Executive Chairman, Udacity

As the Founder and Chairman of Udacity, Sebastian's mission is to democratize education by providing lifelong learning to millions of students worldwide. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.

Taught By The Best

Sebastian Thrun

Founder and Executive Chairman, Udacity

Get Started Today

Artificial Intelligence for Robotics