Salem_robotics

Yeah, you hit some great points! From a broader perspective not only are we seeing the sort of ai vs classical approaches camps at different conferences and companies, but industry wide we wonder about another shift.

A shift from a single company handling all software and hardware inhouse, to a sort of divergence of the two. Kind of cool to think about, given how that sort of divergence seems to have happened in a few other areas (a dell computer runs windows, an LG TV runs apple TV, your iphone runs airbnb, spotify, instagram)

That creativity/randomness presents itself in different ways depending on the application of the AI. In robotics, that randomness means variance in the motion of the robots physical body and arm(s). I think over time as labs get better at understanding and quantifying the uncertainty of model outputs there could absolutely be a place for full end-to-end AI in safety-critical environments. But today, we believe that is not the best approach for these applications.

Haha it wasn't, but we might steal that for our story going forward.

Thanks, analyzing the data collection in real time plays a major part in assuring we actually collect the data we set out to.