Prof. Sertac Karaman, Dr. Michael Boulet, Owen Guldner, Ken Gregson, Dr. Luca Carlone, Postdoctoral Associate, Aero/Astro
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| Jan/20 | Wed | 01:00PM-05:00PM | 32-081 |
Enrollment: Limited: Advance sign-up required
Sign-up by 01/01
Limited to 30 participants
Attendance: Participants must attend all sessions
Prereq: See description.
Modern robots tend to operate at slow speeds in complex environments, limiting their utility in high-tempo applications. In this course you will push the boundaries of unmanned vehicle speed. Teams of 4-5 will develop dynamic autonomy software to race an RC car equipped with LIDAR, cameras, inertial sensors, and embedded processing around a large-scale, “real-world” course. Working from a baseline autonomy stack, teams will modify the software to increase platform velocity to the limits of stability. The course culminates with a timed competition to navigate the MIT tunnels. Classes will provide lectures on algorithms and lab time with instructor-assisted development. Must attend every class and plan on 6-10 hr/week of self-directed development.
Prereqs: Advanced undergraduates and graduates with some background in controls or robotics. Majors include AeroAstro, Mechanical, Ocean, and EECS. Students with a background in computer science with interest in robotics and controls may also effectively participate. Must have experience with software development. Past exposure to robotics algorithms and/or embedded programming will be useful. Email racecar-iap-course-subscribe@mit.edu with a brief description of your programming/robotics experience.
*This work is sponsored by the Dept. of the Air Force under Contract FA8721-05-C-0002. Opinions, interpretations, conclusions and recommendations are those of the author and are not necessarily endorsed by the U.S. Government.
Sponsor(s): Aeronautics and Astronautics, Lincoln Laboratory, Electrical Engineering and Computer Science
Contact: Owen Guldner, racecar-iap-course-subscribe@mit.edu