It tells the motor (motor X) to set to 25% Did that move the arm at all? Did it move to the position I wanted ? I don’t know at this point Move the arm Tele-op.vi Motor X =. So, I tell Teleop to move the arm Move the arm Tele-op.viġ0 Closed Loop Control Move the arm Open Loop Closed Loop Example PIDĥ Closed Loop Control Open Loop: Image from:Ħ Closed Loop Control Open Loop Closed Loop Image from:ħ Closed Loop Control Open Loop Closed Loop Example Example:Ĩ Closed Loop Control Move the arm Open Loop Closed Loop Exampleĩ Closed Loop Control Move the arm Open Loop Closed Loop Example To close the feedback loop means to bring information from the output of an action back as an input. As well as several example sensors and possible ways that they could be beneficial. For easy to edit, I’m going to present a way to do a file based autonomous so that you don’t have to redeploy every time you tweak it. Not going to address mechanisms here, this presentation is focused on the software side of things, but I did feel like we should acknowledge that dependency. Use sensors (closed loop control) Appropriate sensors to help your robot account for inconsistencies in field, setup, game pieces, battery level, etc.

Don’t get me wrong, top teams will do both and have better than 90% success at it, but in my experience, a lot of teams that could be competitive are not prioritizing auto enough to compete with the stronger teams.ģ Ingredients Quick, effective mechanisms Easy to edit But in putting in the effort to have a consistent auto and trained drivers, you can be prepared to widen that gap. You might say that’s not a lot less, and it’s not. But even if they were 100% consistent at this, that would only be an expected 15 points per match (which is less than 18).

A lot of robots had difficulty getting through the match, onto the tower grounds, and climbing. On the other hand, that year a team could climb in the end game for 15 points. 90% x 20 points is an expected 18 points per match. Let’s say for the sake of argument that they were only 90% consistent. A lot of teams that have learned to prioritize Auto got these consistently. In 2016, (Stronghold) robots got 10 points for crossing a defense and 10 points for scoring in the high goal in auto. TODO: fill this in a little more once we get the game for 2019 Notes: Every year there has been a way to score points for your alliance by just moving In the past, auto has been the first or second tie-breaker A consistent auto is worth more than an if-y end game. If your robot: Is easy to code for auto Has the software architected so that auto coding is simple Has driver’s that are practiced You have a mountain of potential to do well.

Pid controller labview frc