Download Article
Course Modules
Micro-Credential
Syllabus

Three Reasons You Need to Train in Automation

Download your free article today.

Interested in launching a career in robotics or autonomous systems? Developers can't fill roles fast enough. Learn what skills are most prized in the industry, and how you can prepare.

GET ARTICLE

Download your free article today.

Three Reasons You Need to Train in Automation

Interested in launching a career in robotics or autonomous systems? Developers can't fill roles fast enough. Learn what skills are most prized in the industry, and how you can prepare.

Access the Article

Please fill out the form below. 

Industry-Recognized Micro-Credential

SAE Certificate of Achievement

Ready to get started? Enroll in the bootcamp today.

ENROLL

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.

Course Modules

Robotics for Autonomous Vehicle Systems Bootcamp

Developed by Leaders in Autonomous Engineering

A Collaborative Effort Across Industry and Academia

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
"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

  • ‹ prev
  • next ›
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7

Robotics for Autonomous Vehicle Systems Bootcamp

Train smarter with our 12-week program.
• Convenient Skill-Building Digital Learning
• Hands-On Work Each Week
• 1:1 Connections to Industry AV Engineers 
Copyright ©@@currentyear SAE International