Program
Free Content
Course Modules
Micro-Credential
Syllabus

Robotics for Autonomous Vehicle Systems Bootcamp

Developed by SAE International, in partnership with Clemson University and Argo AI

Spring and Fall Sessions Available

12-Week Bootcamp for Individuals and Teams

Learn more about how we equip engineers for the demands of the industry.

Onboarding and Training is Costly and Time Intensive

It takes time to get your staff up to speed in advanced applications.

Be more efficient: Realize Instant ROI
with training for automotive and aerospace industries.

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How to Onboard AV Talent
(And Why SAE Can Do It Better)

The industry faces a skills gap when it comes to autonomous tech. 

Learn how SAE is responding — with a little help from some industry heavyweights.

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Are you an individual looking to transition?

Train smarter:

Convenient Skill-Building Digital Learning
Hands-On Work Each Week
1:1 Connections to Industry AV Engineers 

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3 Reasons You Need to Train in Automation

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Course Modules

Apply your coding skills toward essential robotic tasks and functions.

SLAM

Simultaneous Localization and Mapping

  • Define SLAM & Differentiate several SLAM approaches
  • Explore different localization algorithms
  • Implement SLAM for mapping and use the Navigation Stack in ROS to localize and plan the robot motion

Mechatronics

  • Describe the Sense-Think-Act framework and its relevance in an autonomous system
  • Outline basic topology & commands of the Robot Operating System

Navigation/Path Planning

  • Discuss the relative uses and merits of greedy and non-greedy path-planning approaches
  • Use the Navigation Stack in ROS to extract waypoints for robot motion and implement a pure pursuit controller to navigate through them

Perception: LiDAR, Cameras & Vision and Visual Intelligence

  • Describe the role of sensing systems in autonomous navigation
  • Implement lateral control for wall following
  • Use OpenCV to implement a line follower

Machine Learning

  • Explain basic machine learning concepts
  • Understand the difference between traditional perception and ML
  • Implement a ROS wrapper around trained models to detect and classify objects using Keras

Capstone Project

Implement Turtlebot Burger exercises that test skills in:
  • Working with Lidar and camera data
  • Object detection using pre-trained neural networks
  • Generating maps and localizing within that environment
  • Planning and control

Industry-Recognized Micro-Credential

SAE Certificate of Achievement

Gain Recognized Credentials

SAE International is the world leader in professional training for the mobility engineering field. Completing our competitive and robust training demonstrates applied knowledge, recognized by developers and OEMs throughout the industry.

Developed by Leaders in Autonomous Engineering

A Collaborative Effort Across Industry and Academia
"This pilot provided a useful introduction to the basics of mobile robotics, aided by a strong set of hands-on coding challenges. I would recommend this course as a bridge to engineers who are ready to jump from academia to the professional world."

—Bootcamp Participant

"The Bootcamp accomplished exactly what I set out for. After completing all the lectures and the assignments, capped with the group Capstone project, it gave me a very good overall understanding of the Robotics topics that enables me to start contributing at my job right away."

—Bootcamp Participant

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