Training an Autonomous Mobile Race Car with OpenUSD and Isaac Sim

Autonomous mobile robots (AMRs) are a key element of industrial automation. Training AMRs in the real world is often a difficult, expensive process and prevents many from taking advantage of their tremendous potential. Combining remote control car platforms such as F1Tenth and JetRacer with synthetic data allow virtually anyone to build and train their own AMR. In this session you will use OpenUSD and Isaac Sim to train a virtual F1Tenth vehicle on a digital twin of a track. This will be done using ROS 2 and Isaac Sim in such a way that you can deploy your trained model directly to a real-world robot. Finally, there will be a race to see whose car is the best-trained. The fastest car will get a prize and bragging rights, but with such a fun, informative session we are all winners!Prerequisite(s):
None.

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