Alicia Bay, NC Gears Collecting information on other teams robots - - PowerPoint PPT Presentation

alicia bay nc gears collecting information on other teams
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Alicia Bay, NC Gears Collecting information on other teams robots - - PowerPoint PPT Presentation

Todays presenters: Adam Veenendaal, Red Storm Robotics Lindsey Bay, NC Gears Alicia Bay, NC Gears Collecting information on other teams robots (How is it built, what does it do, what is your teams main strategy, etc) Involves


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Today’s presenters: Adam Veenendaal, Red Storm Robotics Lindsey Bay, NC Gears Alicia Bay, NC Gears

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  • Collecting information on other teams’ robots (How is it built, what

does it do, what is your team’s main strategy, etc)

  • Involves talking to teams, observing the robot’s performance during

match play and writing down the answers or collecting them electrically

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Different parts of Scouting

 Pre Scouting (optional)  Pit Scouting  Match Scouting  Match Strategy (optional)  Alliance Selection Pick List

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Reasons for Scouting

 Evaluation of the abilities of an FTC robot is a huge advantage for match

play and alliance selection

 Actively involves the team members that aren’t on the drive team and/or

pit crew

 Learn more about the game to improve your team’s performance

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Where to start?

 Start with the game rules  Brainstorm all the different aspects that your team wants to know about

  • ther robots

 Downsize and streamline the questions  Attempt to have both QUANTITATIVE (numeric data, yes/no) and

QUALITATIVE (opinions, ratings)

 Find the happy medium between good data and too much data  Good to review with all scouts before the first competition, even better to

do some practice scouting

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Different data sources

 Using existing provided data  Pit Scouting  Match Scouting  YouTube / Twitch

 http://www.firstinmichigan.com/stream.php

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How can Pit and Match scouting be done?

 Just observing and taking

notes

 Paper  Electronic

 Excel  Google Docs  Webpage  Tablet or smart phone app

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Pit Scouting

 The least useful form of scouting

 BUT… great for new scouts and getting

more members involved. Fun to meet and talk to other teams!

 Involves going to teams’ pits and

asking them about their robots

 What mechanisms are teams using?  What is drive train?  What do teams say they can do?  What does your robot do in

autonomous?

 What is your team’s main strategy?  Take a picture of their robot.

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FTC Standing Info

Orange Alliance

 https://theorangealliance.org/home

Standings

 https://theorangealliance.org/events/1718

  • FIM-KEN
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OPR

 Offensive Power Rating, is an attempt to

calculate a team’s contribution to their alliance’s final score.

 Doesn’t account for robots playing

defense

 Doesn’t always account for all elements of

the game.

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FTC Match Details

 https://theorangealliance.org/matches/1718-

FIM-KEN-Q001-1

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Keys to Successful Match Scouting

 Best if your team has 1 member scouting 1 robot per match (total of 4

scouts) if your team has enough members

 Having a schedule and shifts is helpful so members get breaks, know

what’s expected of them

 Know the game rules

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Analyzing the Data

 You’ve collected all this great information, now use it!  During qualification matches, the data helps you to determine your

alliance’s game strategy

 Helps you to understand what your alliance is good at and what your

  • pposing alliance can/can’t do

 Critical for your team’s pick list during alliance selection

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Working with paper scouting data

 Identify the top skills you need in an alliance partner  Weed out the teams that would not make a great partner by removing

them from the pile

 As you scan the sheets, sort them in order  Write the pick list in order and give to your team’s representative for

alliance selection

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Analyzing the data

 Weight different parts of

the game based on needs.

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“Telling the story” from the data

 The data can help rank

teams’ robot skills required for a successful alliance

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Pointers for Alliance Selection

 Make sure your list contains enough teams to cover the entire

alliance selection (usually 12 or 24) plus 1 or 2 more

 Pick robots that complement your robot and teams that you work

well with

 List the robots that you would like to pick in order of preference  During alliance selection, your team representative should cross

  • ff the teams on your pick list as they are selected
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Not in picking situation?

 Have team members talk to other teams that you think you

would make a great partner with based on your data

 Sell your robot and drive team’s abilities accordingly  Make personal connections with some of the top teams

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Questions/Discussion

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