Robotics for Autonomous Vehicle Systems Bootcamp C2012
Topics: Advanced Technologies
This rigorous, twelve-week experience is conducted by leading experts in industry and academia. You’ll develop a deep, technical understanding of how to build autonomous systems by learning to program a mobile robot through hands-on approaches using ROS, Gazebo, and Python. Following an introduction to mechatronics and kinematics, group assignments will be established, and the hardware will be sent to your location of choice allowing participants to put these principles to practice in the comfort of your home or office. You’ll learn and apply software engineering principles such as SLAM; Localization; Navigation/Path Planning; Perception: LiDAR, Cameras & Vision and Visual Intelligence; and Machine Learning.
Who Should Attend
Participants will be recent graduates or new to/newly hired mechanical, electrical, and computer science engineers joining industry to support autonomous vehicle system development. The program is designed for working engineers. We also encourage those who are interested in learning more about the field of autonomous vehicles. This program will take an estimated 10-15 hours of your time on a weekly basis. This includes the 1.5hr live experience on Fridays, self-paced videos, as well as homework assignments.
Prerequisites
- B.S. in Mechanical, Software, or Electrical Engineering, or Computer Science
- Interest in working on autonomous vehicles
- Some coding ability in C or Python
- Coursework in linear algebra, statistics
Testimonials
"I really appreciated the support received throughout the bootcamp. The structure of the program is well thought out and covers a broad range of topics that is perfect for someone new to the field of autonomous devices." -Robotics Bootcamp Attendee
"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." -Robotics Bootcamp Attendee
"Being new to robotics field, the bootcamp helped me to get ramped quickly and introduced to different aspects of robotics. I am more confident in meeting where robotics is being discussed." -Robotics Bootcamp Attendee
"Excellent introductory course to AV Robotics, with plenty of simulation and hands-on work." -Robotics Bootcamp Attendee
You must complete all course contact hours and successfully pass the learning assessment to obtain CEUs.
Equipment requirements:
- An installation of Unbuntu 16.03 (installation options in course)
- Headset and webcam for online audio and video conferencing
- A joystick is not required; but is useful for teleoperation
Jeffery Blackburn (Lead Instructor), Huzefa Kagalwala (Instructor) and Dr. Venkat Krovi (Video Lecturer)
Jeff Blackburn is the Senior Product Sales Manager for Ansys Autonomy, the world’s largest supplier of simulation software. Prior to joining Ansys, Jeff worked on developing autonomous vehicle research platforms at Dataspeed, was a founding member of Metamoto who developed a massively scalable cloud-based simulation platform, and was the North American ADAS and Autonomous Vehicle subject matter expert for Siemens / Tass PLM Software, Inc. He has also held positions in controls and systems engineering with National Instruments, Takata, Fanuc Robotics, and Rockwell Automation. Jeff has organized and presented at numerous technical forums. He has been issued twenty-one U.S patents, primarily in the area of occupant safety. Jeff holds a B.S. in Engineering and a J.D. from the University of Akron.
Huzefa Kagalwala is currently working as an ADAS Simulations Engineer at the Ford Motor Company. Huzefa has a keen interest in all aspects of mobility. Having dabbled in diesel engine emissions calibration during his time at Mahindra & Mahindra, India, he decided to switch over to making vehicles safer via autonomy during his Masters in Automotive Engineering at Clemson University. Being a simulations engineer, makes him proficient in all aspects of the autonomy stack including perception, localization, planning and control. Having kick started his career via the SAEINDIA BAJA competition, to becoming an instructor for SAE, Huzefa’s association with SAE has been for life!
Prof. Venkat N. Krovi (FASME, SM IEEE) is currently the Michelin Endowed SmartState Chair Professor of Vehicle Automation at Clemson University – International Center for Automotive Research. His research focuses on intelligent modulation of distributed physical-power-interactions (motions/forces) between humans with connected and autonomous systems to unlock the “power of the many." Research activities focus on the life-cycle treatment (design, modeling, analysis, control, implementation and verification) of a new generation of systems for realizing Connected-Autonomy synergy with applications in vehicle automation, plant-automation, and defense arenas. He currently serves as the Editor-in-Chief of the ASME Journal of Mechanisms and Robotics and was the Founding EiC of the SAE Journal of Connected and Automated Vehicles. He has also taken significant leadership roles within multiple professional societies (ASME, IEEE) and currently serves on the Executive Committee of the IEEE Robotics and Automation Society. Further details are available from http://cecas.clemson.edu/armlab-cuicar.
