Artificial Intelligence for Robotics

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9/10 stars
based on  5 reviews
Provided by:
Cost FREE
Start Date On demand

Course Details

Cost

FREE

Upcoming Schedule

  • On demand

Course Provider

Udacity online courses
Udacity gives students the opportunity to create hands-on projects that can be put into their portfolios and used to demonstrate their skills to future employers. You'll have a personal coach who helps provide feedback on your assignments and projects to assist you in reaching your goals and staying on track in your online classes. Throughout your education experience, you'll be able to track your development, complete in-class projects, have access to interactive exercises and videos and ...
Udacity gives students the opportunity to create hands-on projects that can be put into their portfolios and used to demonstrate their skills to future employers. You'll have a personal coach who helps provide feedback on your assignments and projects to assist you in reaching your goals and staying on track in your online classes. Throughout your education experience, you'll be able to track your development, complete in-class projects, have access to interactive exercises and videos and earn a verified certificate at the end of the course as proof of all that you've learned. You'll be learning from knowledgeable professors across various schools and parts of the globe. Learn about computer science from Dave Evans, an instructor at the University of Virginia, or delve into app development with Samantha Ready, a Developer Evangelist at Salesforce.com.

Provider Subject Specialization
Sciences & Technology
102 reviews

Course Description

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!
Reviews 9/10 stars
5 Reviews for Artificial Intelligence for Robotics

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Jesse Spaulding profile image
Jesse Spaulding profile image
10/10 starsCompleted
  • 4 reviews
  • 4 completed
7 years, 2 months ago
Taking this course from Sebastian was a pleasure. To start with he is exceedingly qualified to teach it. He was the director of Stanford's artificial intelligence lab and his team was the first to complete the 2005 DARPA grand challenge with their self driving car Stanley. He went on to lead the development of the Google self driving car. In this course you'll learn the core algorithms that power Google's self driving car. And you'll learn directly from the source. "That's pretty cool!" as Sebastien would say. The passion and enthusiasm that Sebastien has for the subject comes across in the videos and is infectious. The course is broken down into short video segments generally not more than 5 minutes. Plenty of quizzes and programming assignments are dispersed to keep you engaged and make sure you're learning. Growing up I was a huge fan of Legos and my favorite thing happened to be building cars. I love machine learning, I love desi... Taking this course from Sebastian was a pleasure. To start with he is exceedingly qualified to teach it. He was the director of Stanford's artificial intelligence lab and his team was the first to complete the 2005 DARPA grand challenge with their self driving car Stanley. He went on to lead the development of the Google self driving car. In this course you'll learn the core algorithms that power Google's self driving car. And you'll learn directly from the source. "That's pretty cool!" as Sebastien would say. The passion and enthusiasm that Sebastien has for the subject comes across in the videos and is infectious. The course is broken down into short video segments generally not more than 5 minutes. Plenty of quizzes and programming assignments are dispersed to keep you engaged and make sure you're learning. Growing up I was a huge fan of Legos and my favorite thing happened to be building cars. I love machine learning, I love designing things, I love building things, and if you're like me you'll love this course. My idea to make this course even cooler - create some kind of virtual world where students can deploy their own code to test in a simulated self driving environment. Perhaps even create a race or competition. Or alternatively, provide instructions for creating your own miniature self driving car for testing in your living room.
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Rachit Sapra profile image
Rachit Sapra profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
4 years, 10 months ago
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Maciej Pilichowski profile image
Maciej Pilichowski profile image
8/10 starsCompleted
  • 9 reviews
  • 9 completed
6 years ago
This course has all the ingredients, it is interesting, fun etc and generally I recommend it, but there is one flaw -- not enough depth, the course is too easy, and second, there is too big promise ("building robotic car"). After finishing the course I know how the small pieces work, but I still couldn't put them together to make something useful.
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Diego Allen profile image
Diego Allen profile image
8/10 starsCompleted
  • 2 reviews
  • 2 completed
6 years, 9 months ago
Great course, maybe a follow up that goes more in-depth in some topics might be useful. Also virtual environments to help visualize how the different algorithms behave as Jesse Spaulding suggested in another comment would be a way to improve this course.
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Chad Colgur profile image
Chad Colgur profile image
8/10 starsCompleted
  • 7 reviews
  • 7 completed
6 years, 11 months ago
Prof. Thrun has a really engaging presentation style. It helps that he is one of the foremost accomplished practitioners in the field with an exhibit in the Smithsonian no less. You know you're learning from the best. The course was almost exactly what I expected. I might have wanted a bit more "starter code" for my own project but that expectation seems naive in retrospect. Anyway, the problem solving techniques are the important bits. The rest is too project- specific for a remote learning environment. It is difficult to imagine how this course could improve. Some people found the "utilitarian" approach to the mathematics a little distracting. You are asked to accept a few results on faith but that was never too difficult for me. I might have added a few links for the mathematically-inclined. I haven't taken it but there is another Udacity course on mathematical modelling. It might be the one on differential equations. I did quite ... Prof. Thrun has a really engaging presentation style. It helps that he is one of the foremost accomplished practitioners in the field with an exhibit in the Smithsonian no less. You know you're learning from the best. The course was almost exactly what I expected. I might have wanted a bit more "starter code" for my own project but that expectation seems naive in retrospect. Anyway, the problem solving techniques are the important bits. The rest is too project- specific for a remote learning environment. It is difficult to imagine how this course could improve. Some people found the "utilitarian" approach to the mathematics a little distracting. You are asked to accept a few results on faith but that was never too difficult for me. I might have added a few links for the mathematically-inclined. I haven't taken it but there is another Udacity course on mathematical modelling. It might be the one on differential equations. I did quite a bit of that in my classical education so it will probably be a while before I go back to it. Perhaps it is an alternative for you. Some proficiency in Python would be useful for this course. I would also consider the Khan introduction to Linear Algebra, just so you are not seeing a matrix for the first time in this course. That said, the emphasis is on mastery at Udacity. You might want to use this course to drive your linear algebra learning.
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