[hrench]

weaverSam8,

Sounds like a great idea and a great use of computer-thinking to figure things out.

But I think I see a gap? Just because the statistics show that a robot 'hasn't' done something doesn't mean that it can't.

For instance, in it's whole life, our robot has only made like two low goals. There's really seldom a reason to even try--we can make high goals at a high percentage. We only did those two in eliminations to beat defenders.

Same goes for low bar and rough terrain. Yes we can low-bar, but we have 10-inch wheels and good manipulators so we can cross all the defenses without much trouble. Almost always there are robots on our alliance that would prefer the low bar or the RT, so we 'give' it to them.

But I can see how the statistics may still show that my team scored on lowbar or RT, because likely someone on the alliance did, so maybe we'd get the points?

I don't see how we'd ever be given points for being able to low-goal shoot.

How will your neural network evaluate a robot that just hasn't done these?