I feel control is the hard problem to solve. It’s okay to put it off if you’re just doing a university project or you don’t have the funding yet, but eventually you have to tackle it. Am I wrong in thinking deep learning is really the only way to get robust performance, just like it is for full self driving? If it isn’t, why? If no AWE company is doing deep learning, my hot take now is that they are all 15 years behind the curve.
After you’ve figured out single kite AWE, I bet multiple kite AWE will be the next challenge. I think you’ll have a head start if you already have little AI pilots ready.
Am I wrong @rschmehl, or anyone?