University of Michigan
AI for Autonomous Vehicles and Robotics

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University of Michigan

AI for Autonomous Vehicles and Robotics

Wei Lu

Instructor: Wei Lu

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Revise

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

December 2024

Assessments

3 assignments

Taught in English

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This course is part of the AI for Mechanical Engineers Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course

In the first module, we describe several types of robotics and explain key technologies for self-driving cars. We will also explain the application of AI in autonomous systems.

What's included

2 videos4 readings1 assignment

In Module 2, we will review various types of algorithms that are used in robotics and self-driving cars and explain in more detail the principles and functions of key algorithms. We will also examine the applications of algorithms such as reinforcement learning and object detection techniques.

What's included

2 videos2 readings1 assignment1 ungraded lab

In the third Module, we will discuss the following concepts related to robotics: motion planning, perception, and learning. For self-driving cars, we will examine state estimation, localization, and visual perception. Finally, we review the applications of key algorithms such as object detection techniques.

What's included

3 videos6 readings1 assignment1 ungraded lab

Instructor

Wei Lu
University of Michigan
3 Courses127 learners

Offered by

Recommended if you're interested in Mechanical Engineering

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