8 comments
If you participate in this competition you’re effectively giving free research to a weapons company who will use it to improve their killer drones. I’m not judging but that’s what this is. Please correct me if I’m wrong, but I don’t think I am.<p>I only say this because technologists sometimes don’t think about the reasons behind things, they just see a fun problem to solve.
Does the starter kit include a simple baseline agent (like a basic line-follower) that I can run immediately to see how the simulator works?
the included baseline just demonstrates that the Betaflight controller will indeed move to the hard-coded center positions of each gate. So the basic first solver task would be to replace that with a CV or ML inference based approach. We plan to add another demo solver into the sample set that shows this next, currently in progress.
Looks cool! But why not just use Gazebo? Or Issac?
Both great tools, optimized for slightly different needs. Gazebo is great for simulation and testing of higher level control, or for simulation that doesn't require 1000hz sensor simulation rate. Nvidia Isaac focuses on ML model training workflows, not ideal for interacting directly with your flight software for flight testing your code before you fly. This aims to be software CI/CD for your drone builds.
Wow.That's looks great.
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