I took F1Tenth Autonomous Robots course at UT Austin and I would highly recommend taking this course for anyone who wants to foray into the field of autonomous vehicles. This course was successful in covering all the basics for estimation, mapping, and obstacle avoidance. Deploying these algorithms on actual cars is also fun with a great learning curve and is something every roboticist should experience.

I took the F1Tenth autonomous racing course during my masters at UPenn and it was no doubt one of the best courses there. It was a very hands-on course and I got to implement various motion planning, perception, and control algorithms on the F1/10 car. Understanding the theory, coding up the algorithms, and debugging issues that arose during hardware implementation taught me invaluable lessons and made me ready for the challenges that I would face in real-world scenarios. This experience solidified my decision to delve deeper into the field and pursue a Ph.D. in Autonomous Systems at Washington University at St. Louis.

I’ve began using F1Tenth as an affordable way to introduce myself to path planning, graph search, and control algorithms for my graduate research. I would recommend F1Tenth to anyone looking for a feasible, fun way to apply research knowledge to a tangible and capable platform!

I came into F1Tenth with zero robotics experience, only an embedded programming background. The F1Tenth course was able to get me up to speed quickly on basic robotics concepts, in particular, planning and control algorithms beyond basic A*Star and PID. The competitions have provided a great opportunity to work with a team and apply the knowledge from the course.