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Unread 14-10-2014, 00:59
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billbo911 billbo911 is offline
I prefer you give a perfect effort.
AKA: That's "Mr. Bill"
FRC #2073 (EagleForce)
Team Role: Mentor
 
Join Date: Mar 2005
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Re: Vision: what's state of the art in FRC?

Quote:
Originally Posted by Tom Bottiglieri View Post
While CV is a neat field and is definitely worth learning more about, planning to use a solution before you know the problem is probably a bad idea. Our team looks at vision as a last resort as it introduces extra points of failure to an already complicated robot.

I recommend using simple sensors to get your robot the perception it needs, then tuning your control loops/operator interface code until you run into a brick wall. If you really can't achieve the task you want without a ton of driver practice, then look in to adding a vision system to give you that last little bit of performance.
Tom,
I've heard you make these comments before, and although I don't agree 100%, I fully understand your reasoning and logic. Since I like to look to the Poofs as a team to learn from, I would like to know if there ever was a game where 254 needed to use vision to overcome an obstacle?
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CalGames 2009 Autonomous Champion Award winner
Sacramento 2010 Creativity in Design winner, Sacramento 2010 Quarter finalist
2011 Sacramento Finalist, 2011 Madtown Engineering Inspiration Award.
2012 Sacramento Semi-Finals, 2012 Sacramento Innovation in Control Award, 2012 SVR Judges Award.
2012 CalGames Autonomous Challenge Award winner ($$$).
2014 2X Rockwell Automation: Innovation in Control Award (CVR and SAC). Curie Division Gracious Professionalism Award.
2014 Capital City Classic Winner AND Runner Up. Madtown Throwdown: Runner up.
2015 Innovation in Control Award, Sacramento.
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