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Sebastian Thrun
Take Udacity's Artificial Intelligence of Robotics course and learn how to program all the major systems of a robotic car. Learn online with Udacity.
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What's inside
Syllabus
Sebastian Thrun will give you an overview of the theory behind localization!
Problem Set 1
Q&A 1
Learn from the best! Sebastian Thrun will walk you through the usage and concepts of a Kalman Filter using Python.
Read more
Syllabus
Sebastian Thrun will give you an overview of the theory behind localization!
Problem Set 1
Q&A 1
Learn from the best! Sebastian Thrun will walk you through the usage and concepts of a Kalman Filter using Python.
Read more
Problem Set 2
Problem Set 2 Help
Q&A 2
Now, Sebastian will teach you what a particle filter is and will teach the theory and math behind the particle filter.
Problem Set 3
Problem Set 3 Help
Q&A 3
In this lesson you will learn about discrete path planning and algorithms for solving the path planning problem.
Problem Set 4
Q&A 4
PID Control
Problem Set 5
Problem Set 5 Help
Q&A 5
SLAM
Problem Set 6
Q&A 6
Practice Exam
Project - Runaway Robot
The Next Step
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a comprehensive overview of localization, with a focus on Kalman and particle filters
Covers advanced concepts in path planning, including discrete path planning and algorithms for solving the path planning problem
Includes hands-on project opportunities, such as the Runaway Robot project
Taught by Sebastian Thrun, a leading researcher in artificial intelligence and robotics
Suitable for beginners with a basic understanding of programming and mathematics
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Save Artificial Intelligence for Robotics to your list so you can find it easily later:
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Reviews summary
Ai for robotics from georgia tech
Artificial Intelligence for Robotics is a highly recommended course for students with programming experience and some mathematical fluency. Its strength lies in using real-world examples, especially in the context of self-driving cars. Students appreciate the clear explanations and engaging teaching style of Sebastian Thrun.
Enthusiastic and Knowledgeable Instructor
"Sebastian Thrun brings an incredible eagerness to the topic and his examples are very well prepared."
"Easily one of the very best MOOCs I have ever taken."
Focus on Robotics with Real-World Examples
"This course provides a comprehensive overview of the AI techniques used for localization and navigation of mobile robots."
"He dives right into the key topics of AI for robotics with great toy examples, allowing a newbie to quickly wrap their minds around the system."
Straightforward and Easy to Understand
"excellent, clear and easy to understand for people with some programming and math skills"
"Wonderfully taught! Very elegant building of concepts from minimal discourse. "Show me, don’t tell me" leads to deep understanding naturally."
May Cover Too Many Topics
"the course is an aggregation of loosely connected topics (as if the authors tried to cover a lot more than they had time for)."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Artificial Intelligence for Robotics with these
activities:
Organize course materials and resources
Show steps
Maximize your learning efficiency by organizing and compiling course materials, making them readily accessible for future reference and review.
Show steps
-
Gather all course materials and resources.
-
Create a structured system for organizing the materials.
-
Regularly review and update your organized materials.
Create a technical report on robotics
Show steps
Reinforce your understanding of robotics concepts by creating a technical report that explores a specific topic or application.
Browse courses on
Technical Writing
Show steps
-
Choose a specific topic or application in robotics.
-
Research and gather relevant information.
-
Analyze and interpret the information.
-
Write and format the technical report.
Develop a visual presentation on a robotics topic
Show steps
Enhance your communication skills and deepen your understanding of robotics concepts by creating a visual presentation on a specific topic.
Browse courses on
Presentation Skills
Show steps
-
Choose a specific robotics topic to present on.
-
Research and gather relevant information.
-
Design and create visually appealing slides.
-
Practice presenting your presentation.
One other activity
Expand to see all activities and additional details
Show all four activities
Initiate a robotics project
Show steps
Apply your acquired knowledge and skills by embarking on a robotics project, deepening your understanding of the subject.
Show steps
-
Identify a problem or challenge within robotics.
-
Design and plan your robotics project.
-
Gather necessary materials and resources.
-
Implement and test your robotics project.
Organize course materials and resources
Show steps
Maximize your learning efficiency by organizing and compiling course materials, making them readily accessible for future reference and review.
Show steps
Show steps
Show steps
- Gather all course materials and resources.
- Create a structured system for organizing the materials.
- Regularly review and update your organized materials.
Create a technical report on robotics
Show steps
Reinforce your understanding of robotics concepts by creating a technical report that explores a specific topic or application.
Browse courses on
Technical Writing
Show steps
Show steps
Show steps
- Choose a specific topic or application in robotics.
- Research and gather relevant information.
- Analyze and interpret the information.
- Write and format the technical report.
Develop a visual presentation on a robotics topic
Show steps
Enhance your communication skills and deepen your understanding of robotics concepts by creating a visual presentation on a specific topic.
Browse courses on
Presentation Skills
Show steps
Show steps
Show steps
- Choose a specific robotics topic to present on.
- Research and gather relevant information.
- Design and create visually appealing slides.
- Practice presenting your presentation.
One other activity
Expand to see all activities and additional details
Show all four activities
Initiate a robotics project
Show steps
Apply your acquired knowledge and skills by embarking on a robotics project, deepening your understanding of the subject.
Show steps
Show steps
Show steps
- Identify a problem or challenge within robotics.
- Design and plan your robotics project.
- Gather necessary materials and resources.
- Implement and test your robotics project.
Career center
Learners who complete Artificial Intelligence for Robotics will develop knowledge and skills
that may be useful to these careers:
Robotics Engineer
Robotics Engineer
Robotics Engineers assist in designing, constructing, testing, and maintaining robots that are utilized in a variety of industries such as manufacturing, healthcare, and space exploration. Through coursework in Artificial Intelligence for Robotics, learners will gain knowledge and skills that are essential to success in this role, including understanding of robot kinematics, dynamics, and control systems. In particular, the course's emphasis on localization, path planning, and SLAM (Simultaneous Localization and Mapping) are critical for enabling robots to navigate and operate in complex environments.
Autonomous Vehicle Engineer
Autonomous Vehicle Engineer
Autonomous Vehicle Engineers develop and test self-driving cars and other autonomous vehicles. Artificial Intelligence for Robotics offers a solid foundation for this role by providing learners with a comprehensive understanding of the core technologies used in autonomous vehicles, such as sensor fusion, localization, path planning, and control systems. The course's focus on practical applications, such as the Runaway Robot project, will also be valuable for Autonomous Vehicle Engineers as they work to bring self-driving vehicles to market.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers develop and implement algorithms and systems that enable computers to interpret visual information. Artificial Intelligence for Robotics includes modules on computer vision techniques such as image processing, feature detection, and object recognition, which are all essential skills for Computer Vision Engineers. The course's focus on robotics applications, such as SLAM and runaway robot detection, will also be of interest to those pursuing a career in this field.
Control Systems Engineer
Control Systems Engineer
Control Systems Engineers design and implement systems to control physical systems, such as robots, vehicles, and manufacturing equipment. Artificial Intelligence for Robotics provides a strong foundation for this role by teaching learners about control theory, feedback systems, and state estimation. The course's focus on robotics applications, such as PID control and SLAM, will also be valuable for Control Systems Engineers working in robotics and related fields.
Perception Engineer
Perception Engineer
Perception Engineers develop and implement algorithms and systems that enable robots and other autonomous systems to perceive and understand their environment. Artificial Intelligence for Robotics provides a comprehensive overview of the core technologies used in perception, such as sensor fusion, localization, and object recognition. The course's focus on robotics applications will also be of interest to those pursuing a career in this field, as it will provide them with the knowledge and skills needed to develop and implement perception systems for robots.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning algorithms and models. Artificial Intelligence for Robotics provides a solid foundation for this role by teaching learners about machine learning concepts such as supervised learning, unsupervised learning, and reinforcement learning. The course's focus on robotics applications, such as SLAM and runaway robot detection, will also be of interest to those pursuing a career in this field.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. Artificial Intelligence for Robotics may be useful for those pursuing a career in this field, as it will provide them with the knowledge and skills needed to develop software for robots and other autonomous systems. The course's focus on practical applications, such as the Runaway Robot project, will also be valuable for Software Engineers working in robotics and related fields.
Electrical Engineer
Electrical Engineer
Electrical Engineers design, develop, and maintain electrical systems. Artificial Intelligence for Robotics may be useful for those pursuing a career in this field, as it will provide them with the knowledge and skills needed to develop and maintain electrical systems for robots and other autonomous systems. The course's focus on practical applications, such as the Runaway Robot project, will also be valuable for Electrical Engineers working in robotics and related fields.
Mechanical Engineer
Mechanical Engineer
Mechanical Engineers design, develop, and maintain mechanical systems. Artificial Intelligence for Robotics may be useful for those pursuing a career in this field, as it will provide them with the knowledge and skills needed to develop and maintain mechanical systems for robots and other autonomous systems. The course's focus on practical applications, such as the Runaway Robot project, will also be valuable for Mechanical Engineers working in robotics and related fields.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to identify trends and patterns. Artificial Intelligence for Robotics may be useful for those pursuing a career in this field, as it will provide them with the knowledge and skills needed to analyze data from robots and other autonomous systems. The course's focus on practical applications, such as the Runaway Robot project, will also be valuable for Data Analysts working in robotics and related fields.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts develop and apply mathematical and analytical techniques to solve complex problems in a variety of industries. Artificial Intelligence for Robotics may be useful for those pursuing a career in this field, as it will provide them with the knowledge and skills needed to solve complex problems related to robotics and autonomous systems.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products and services. Artificial Intelligence for Robotics may be useful for those pursuing a career in this field, as it will provide them with the knowledge and skills needed to develop and launch products and services related to robotics and autonomous systems.
Systems Engineer
Systems Engineer
Systems Engineers design, develop, and maintain complex systems. Artificial Intelligence for Robotics may be useful for those pursuing a career in this field, as it will provide them with the knowledge and skills needed to develop and maintain complex systems related to robotics and autonomous systems.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. Artificial Intelligence for Robotics may be useful for those pursuing a career in this field, as it will provide them with the knowledge and skills needed to create and maintain technical documentation for robotics and autonomous systems.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts ensure that products and services meet quality standards. Artificial Intelligence for Robotics may be useful for those pursuing a career in this field, as it will provide them with the knowledge and skills needed to ensure that robotics and autonomous systems meet quality standards.
For more career information including salaries, visit:
OpenCourser.com/course/0upwhr/udacity
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Artificial Intelligence for Robotics.
Provides a comprehensive overview of the theory and practice of probabilistic robotics and valuable reference for anyone working in this field.
Provides a comprehensive introduction to the principles of autonomous mobile robotics and valuable resource for anyone interested in this field.
Provides a practical introduction to the fundamentals of robotics, vision, and control using MATLAB and valuable resource for anyone interested in these fields.
Save
Provides a comprehensive overview of the theory and practice of modern robotics and valuable resource for anyone working in this field.
Save
Provides a comprehensive overview of the theory and practice of planning algorithms and valuable resource for anyone working in this field.
Provides a comprehensive overview of the theory and practice of robotics and valuable resource for anyone working in this field.
Provides a comprehensive overview of the theory and practice of robotics and valuable resource for anyone working in this field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0upwhr/udacity
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Effort
13 hours
Via
Udacity
Instructor
Sebastian Thrun
Language
English
Good to know
Provides a comprehensive overview of localization, with a focus on Kalman and particle filters
Covers advanced concepts in path planning, including discrete path planning and algorithms for solving the path planning problem
Includes hands-on project opportunities, such as the Runaway Robot project
Taught by Sebastian Thrun, a leading researcher in artificial intelligence and robotics
Suitable for beginners with a basic understanding of programming and mathematics
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