Well, maybe. Three events doesn’t really make a true sample size, and this only works for this year’s game, but graphs!

@Tom_Boehm_329 and I were talking about drive train speeds like we assume everyone does all summer long on here and we got to thinking: Zebra Dart data was collected for 3 events this season so far, why don’t we histogram every velocity of every robot at all those events and see where the percentiles lie for achieved velocity on the field. ~2 Million data points later (and Tom’s vacation time) we did it. All speeds under 2 ft/s were considered in one lump and are ignored for the graphs below, then we broke it out into .5 ft/s buckets. Our reasoning was standing still is boring* so let’s measure when they are actually trying to go somewhere.

Graphs:

Takeaways:

- Even at an event like IRI 99% of velocities over 2 ft/s were 12 ft/s or less
- The % of data below 2ft/s was 51.14% for IRI, 59% for SBPLI2 and 62.84% for SBPLI1. Less time was spent “standing still” at IRI. *Perhaps this is pick and place time or climbing early?
- After 12 ft/s you are probably best served minimizing your time spent standing still on pick or place than trying to go from the 99% of velocities to the 99.9% of velocities

This seems to agree with some of the common knowledge posted up on here in the past but its always fun to see data with some correlation.