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Artificial Intelligence for Robotics

All-Time Top 50

Stanford University via Udacity

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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.

This course is offered as part of the Georgia Tech Masters in Computer Science. The updated course includes a final project, where you must chase a runaway robot that is trying to escape!

Why Take This Course?
This course will teach you probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics.

At the end of the course, you will leverage what you learned by solving the problem of a runaway robot that you must chase and hunt down!

Taught by

Sebastian Thrun

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Reviews for Udacity's Artificial Intelligence for Robotics
4.8 Based on 22 reviews

  • 5 stars 77%
  • 4 stars 23%
  • 3 star 0%
  • 2 star 0%
  • 1 star 0%

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  • 1
Anonymous
5.0 11 months ago
Anonymous completed this course.
Wonderfully taught! Very elegant building of concepts from minimal discourse. "Show me, don't tell me" leads to deep understanding naturally. Very gifted teacher.
Was this review helpful to you? Yes
Anonymous
5.0 6 years ago
Anonymous completed this course.
I only did the first chapter as I was looking for localization algorithms and I thought it was really useful.
1 person found
this review helpful
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Anonymous
5.0 6 years ago
Anonymous completed this course.
Pretty good course. I did not finish it because it overlapped a lot with the first version that Sebastian Thrun did together with Peter Norvig. From the first several units I got an impression that the course is an aggregation of loosely connected topics (as if the authors tried to cover a lot more than they had time for), but nevertheless each topic is well explained.
Was this review helpful to you? Yes
Anonymous
5.0 2 weeks ago
Anonymous completed this course.
useful course for control and automation engineering and researcher

focusing in soft computing and controller design problem and introduce new techniques in control system design
Was this review helpful to you? Yes
Federico R
5.0 4 months ago
by Federico is taking this course right now, spending 2 hours a week on it and found the course difficulty to be medium.
This course provides a comprehensive overview of the AI techniques used for localization and navigation of mobile robots. Exactly what I was looking for.
Was this review helpful to you? Yes
Mal M
5.0 3 years ago
by Mal partially completed this course, spending 4 hours a week on it and found the course difficulty to be hard.
3 people found
this review helpful
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Anonymous
5.0 6 years ago
Anonymous completed this course.
excellent, clear and easy to understand for people with some programming and math skills
Was this review helpful to you? Yes
Maxime L
5.0 3 years ago
by Maxime completed this course.
1 person found
this review helpful
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Julio M
4.0 a year ago
by Julio partially completed this course.
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Rey C
5.0 3 years ago
by Rey completed this course and found the course difficulty to be easy.
0 person found
this review helpful
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Franta P
4.0 2 years ago
by Franta completed this course.
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Alvaro C
5.0 2 years ago
by Alvaro partially completed this course.
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Vikram P
4.0 3 years ago
Vikram is taking this course right now.
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Liviu L
5.0 3 years ago
by Liviu completed this course.
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Wojciech C
4.0 2 years ago
Wojciech completed this course.
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Ciprian C
5.0 3 years ago
Ciprian completed this course.
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Mauro L
4.0 3 years ago
by Mauro completed this course.
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Johan K
5.0 3 years ago
by Johan completed this course.
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Ryan R
5.0 a year ago
by Ryan completed this course.
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Oleg T
5.0 2 years ago
by Oleg completed this course.
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