Subsystem Resource Survey

I see the issue being that all responses are required. You’re getting a mix of expert reflection and novice assumption. A rookie team who’s never made a turret may score it a 10 because it seems hard. Veterans who’ve given it a try may all rate it between 5 and 8.

Be prepared to see data that confirms commonly held opinions more than an objective assessment of resource intensity.

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All intakes I’ve seen are just combinations of core mechanisms, typically rollers + pneumatic pivots / single jointed arms

That is what the data shows, but that’s also something I’m more interested in seeing. The final scores will be decided by myself and a smaller, private group. The survey is to see how our internal ideas compare to a public sample’s.

I’m surprised that omni tank is rated more than two points more resource intensive than kitbot. Just change out the wheels and some spacers on a kitbot and you have omni tank. OBTW, the AM kit is way too complicated - skip the long axles, pulley spacers, long churros! Just get the wheels and swap out the am-1307 spacers with 4 more am-1306’s*. If you want only omni, also get 2 4" hi-grip or similar wheels to replace the 6" center wheels.

* You’ll be 0.07" too short, but omnis don’t transmit axial forces anyway. If it bugs you, cut the 1307’s down to 0.35" instead.

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Thank you to everyone who participated in the survey. We have received 85 submissions so far as of this posting, and the results are not only extremely useful for my project, but also very interesting to consider. I have posted them below. Note that given the nature of the survey, this is not an official metric of subsystem ranking, but a reflection of the opinions of those who participated in the survey.

Rank Resource Intensity Score Subsystem Outliers believe subsystem is ___ resource intensive than average Standard Deviation
1 1.65 Kitbot More 1.00
2 3.60 Roller / Conveyor More 1.66
3 3.91 Pneumatic Pivot / Linkage More 1.95
4 3.99 Omni Tank More 1.72
5 4.09 Limelight Vision More 2.10
6 4.32 Single Jointed Motorized Arm More 1.58
7 4.48 WCD More 1.54
8 4.80 Mecanum Less 1.77
9 5.02 Four-Bar Linkage More 1.71
10 5.08 Bells / Whistles More 2.24
11 5.20 Linear Punch Less 1.91
12 5.32 Elevator Less 1.70
13 5.45 Flywheel Shooter More 1.89
14 5.46 Catapult Shooter More 1.72
15 5.70 H-Drive More 1.61
16 6.36 Custom Drivetrain More 1.75
17 6.59 Purchased Swerve Less 1.74
18 6.64 Ramps / Forks Less 2.14
19 6.97 Double Jointed Motorized Arm More 1.53
20 7.06 Custom Vision Less 1.63
21 7.18 Custom Mech More 1.66
22 7.28 Octocanum Less 1.85
23 7.59 Butterfly Less 1.62
24 8.03 Turret Less 1.70
25 9.07 3+ Jointed Motorized Arm Less 1.57
26 9.33 Custom Swerve Less 1.26
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Just to note, powder coating does not necessarily require a sponsor/special facility. 'Snow Problem has powder coated many robots in their own shop with nothing special in terms of facilities. Here is their white paper on the set up.

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Looks to me like people perceive elevators to be harder than they actually are in the current age of FRC. I’m convinced at this point that an elevator is far superior for the average team to choose than a single-jointed arm. Wouldn’t have said that before COTs made them easy in 2015, though.

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The survey was regarding resource intensity, which covers ease of implementation, but is not solely defined by it. I can see other factors of elevator implementation contributing to survey takers’s perceptions regarding it’s resource intensity. COTS elevators have removed many barriers to entry (and even added some), but not all.

Fair. I still believe the survey responders to be incorrect :slight_smile:

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Absolutely concur. In resources, I included money for parts, time and opportunity cost for students and mentors, and facilities/tools available, scaled to the scarcity of those resources in my years of experience.

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There is a lot I find questionable, but there is a lot that I find insightful. I went into this knowing that I tend to underestimate the resource requirements for subsystems (it’s easy to say that it’s just a turreted shooter on just a four-bar) and while the results aren’t the most accurate, they provide a perspective that both confirms and challenges some of my prior conceptions. If anything it has me rethinking some of my prior points of view to find things I may have missed before, which to me means this part of the project has been a success. Of course this is just the beginning of the project, but it has been an incredibly helpful one.

Hey all -

Thank you to everyone who helped provide input for the first iteration of this project. After working on the second iteration, I have what I believe is a somewhat presentable version that I’m not too embarrassed for the public to see, so I would like to submit it for further evaluation. It is always helpful to get a sense of what other’s think to balance against my own assumptions.

I would appreciate it greatly if anyone would be willing to look over the data in the “Breakdown” tab of the spreadsheet and provide feedback on what values they believe may not be reliably reflective. The data is more clearly reflected in the associated “scores” tabs for each primary resource method.

Thank you!

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