Robotics for Autonomous
Vehicle Systems Bootcamp
Developed by SAE International, in partnership with Clemson University and Industry Partners,
this 12-Week Intensive Bootcamp for Individuals and Teams has Spring and Fall Sessions Available.
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.
Course Modules
Apply your coding skills toward essential robotic tasks and functions.
SLAM
Mechatronics
Navigation/Path Planning
Perception: LiDAR, Cameras & Vision, and Visual Intelligence
Machine Learning
CAPSTONE Project
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
Developed by Leaders in Autonomous Engineering
A Collaborative Effort Across Industry and Academia
