If last year was about not doing the trap, this year’s trap is slightly different.
Everything in this game is achievable (see ri3d), and you could probably design a robot to do everything.
Like every game (but especially in this game), it’s about cycle optimization. The cycles are so short that every second you save gives you an extra 1-2 cycles.
Can you do everything in the game in a fully optimized way? Do you have the design, programming, drive practice, fabrication, and logistics resources to do everything in this game and max the capabilities out?
There are 6 different ways to score points, and they all have slightly different ways of approaching it. Can you optimize every single one of those approaches well? They are all doable individually, though.
Are you able to stay in weight, have an insanely low CG, and drive the robot like you stole it?
Many teams will be able to do everything mediocrely, but when was the last time you needed to do everything to be actually competitive?
I don’t think I’m that good of a designer, but even trying to optimize like corral scoring in l1-l3 is already really difficult, and I’m struggling a lot. I don’t think I can manage optimizing everything else, either.
Historically, teams struggled to optimize significantly “simpler” games in terms of execution. I haven’t seen much that would signify there was a massive change.
2024 only had three primary actions (amp, speaker, climb)
2023 had 6 types of scoring which all were approached relatively similarly, but no climb
2022/2021 was launching a ball into a goal and climbing
2019 was hatch/cargo with climb
This year? L1 is more optimally scored horizontally, L2-L3 at an angle, and L4 vertically. These all have different “optimal” ways of approaching the problem.
Algae could be knocked off, then ground intake or picked directly off the reef; you can shoot the algae, place it in the net, or put it in the processor.
Oh, and there’s a climb, too.
If you can optimize every single part of the game? It’s time to win worlds, and this post isn’t for you, I guess.