From 98e528d96d7726a82201b7c7056bac420fd6022b Mon Sep 17 00:00:00 2001 From: Evan Pratten Date: Mon, 3 Aug 2020 22:32:44 -0400 Subject: [PATCH] Update video note --- _drafts/2020-08-08-Drivetrain-navigation.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/_drafts/2020-08-08-Drivetrain-navigation.md b/_drafts/2020-08-08-Drivetrain-navigation.md index 46d2bc4..6bd73a9 100644 --- a/_drafts/2020-08-08-Drivetrain-navigation.md +++ b/_drafts/2020-08-08-Drivetrain-navigation.md @@ -76,7 +76,7 @@ $$ For even more controllability, Raider Robotics passes $$\Delta d$$ through a [PD](https://en.wikipedia.org/wiki/PID_controller#Selective_use_of_control_terms) controller, and $$\Delta\theta$$ through a [PI](https://en.wikipedia.org/wiki/PID_controller#PI_controller) controller before converting them to motor values... and that is it! With just a couple formulæ, we have a fully functional autonomous point-to-point locomotion system. -For a real-world example of this method in use, check out 5024's robot in the bottom right corner of this video for the first 15 seconds: +For a real-world example of this method in use, check out 5024's robot (bottom right) and 1114's robot (bottom left). Both teams were running nearly the same implementation. We were both running autonomously for the first 15 seconds of the game: