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Team 341 presents Miss Daisy XI
Our 13th robot, and 11th to bear the name Miss Daisy. After a long and interesting build season, we are VERY happy with how she turned out.
CHASSIS
* 119.8 lbs
* 27.5" x 37" x 53"
* Wide drive base for ease of fit on bridges
* Actual Center of Gravity is 4" off the ground - robot must tip MORE than 90 degrees forward or back before not returning to its wheelbase
DRIVE
* 8 Wheel, 4 CIM Drive
* 6" Performance Wheels with Blue Nitrile Tread
* 2 speeds: 5 ft/sec and 12 ft/sec
* Effectively climbs the barrier and bridges
INTAKE
* 37" wide because we really like picking up balls
* Deploys over the bumper to manipulate the bridge
* Powered by AM 9015 motor
* 2 stage funneling system (3->2 in intake, 2->1 in hopper) eliminates jams
SHOOTER
* Fixed shooter on opposite side of intake (I wonder why?)
* Dual 6" Skyway wheels powered by dual FP 0673 motors
* Can make shots anywhere in the offensive zone
SENSORS
* Encoders and dual axis (pitch, yaw) gyro on the drive
* Optical photosensor for accurately measuring shooter wheel speed
* Camera and dual LED rings for detecting the top target
SOFTWARE
* Completely automatic targeting via laptop-based DaisyCV image processing application
* Target detection code can run at more than 200 frames per second; it has no problems performing real-time tracking of the target regardless of lighting or even partial occlusion (such as from the rim/net)
* Camera system outputs are fused with onboard telemetry to perform high-speed positioning and shooter spinup (camera commands azimuth to the gyro and RPMs to the shooter)
* Software-assisted balancing for an easy endgame
* A few different autonomous routines that we hope the crowd will enjoy 
22-02-2012 01:36
jblay
Looks like another awesome miss daisy machine. That intake system is really cool and I look forward to seeing it in action. From the videos I have seen of competition and the practice we have done, it is becoming clear how difficult picking up the balls is going to be and your intake system looks like it has more than solved that issue.
22-02-2012 04:52
rcmolloy
This is definitely a Daisy machine. I'm sure that come Championships, Jared and the team should be seasoned in and ready to what they wanted to achieve last year to really happen. Really impressive and can't wait to see it in action soon. Good luck and see you at Champs!
22-02-2012 05:10
Hawiian CadderWow, that COG is impressive, This looks like an awesome robot, cant wait to see it in action.
22-02-2012 06:57
Andrew SchreiberDaisy makes extrusion look sexy. Can't wait to see Miss Daisy XI at MAR. It's been a pleasure to watch her come together, can't wait to watch her run.
Best of luck Daisy!
22-02-2012 07:10
Mr MOEGreat-looking bot! Can't wait to see it in action at the MAR disctrict events. See you all at Chestnut Hill!
22-02-2012 07:22
nlknauss
Great robot Team 341! I really love the intake system on the robot, very unique and cool. See you at Chestnut Hill!
22-02-2012 11:00
lynca|
SOFTWARE * Completely automatic targeting via laptop-based DaisyCV image processing application * Target detection code can run at more than 200 frames per second; it has no problems performing real-time tracking of the target regardless of lighting or even partial occlusion (such as from the rim/net) |
22-02-2012 11:57
Jared Russell
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This frame rate is very impressive.
1. What camera are you using ? 2. What are the specs of your laptop ? 3. How do you transfer information between a laptop and cRio? 4. Do you have a openCV backboard tracking example available? |
22-02-2012 12:26
JamesTermHow did you solve the potential networking issues and latency? Do you have some interpolation for delayed frames? Do you have timestamps on the frames to know how long they took to trasmit... when you computed your position, and transmit this back to the robot does it take into account the latency on this end. How did you work around or simulate the FMS locked stress, and did you test against a typical network traffic of a match.
All of these questions scared me away from this kind of solution. I hope you have some good answers for them. 
I guess you can always set still for a few seconds and that should solve that.
22-02-2012 12:48
Jared Russell
The short answer is that if we discover network latency/dropout to be a significant problem, we will move our image processing application to an onboard laptop. Failing that, our next fallback is to reduce resolution and/or framerate. To be frank, we auto target just fine at 5 fps (because the gyro loop is closed at 200Hz); we do 30 because we can 
However, I do not expect this to be a major concern. In past seasons, teams have streamed live camera data directly to their dashboards with few problems. The only difference is now we are cutting out the cRIO altogether. While we haven't run simulations against an "FRC network simulator" (but if you know of a tool that could be used for this purpose I would be interested in trying it), in theory there is PLENTY of bandwidth to go around. With reasonable compression settings these images are only on the order of 10-20 kilobytes a piece.
We don't timestamp the images, but we do transmit our heading synchronously with new camera images being available. That way, the results returned by the vision application do not go "out of date" if they are received late. Out of order packets would be a bigger problem (it's UDP under the hood). But absolute worst case - like you said - this would be a transient problem and would straighten itself out within a second or two.
EDIT: Forgot to add, we also do low pass filtering of both outputs from the vision system to help smoothness (and to reject momentary disturbances like when we occlude the vision target with a flying basketball
). This should help with occasional frame drops as well.
22-02-2012 13:02
team222badbrad
Clean looking machine!
It's nice to see another robot with a wide pickup! :-)
See you at Chestnut Hill!
22-02-2012 14:40
Lil' Lavery
Awesome. Can't wait to play with 341 at Hatboro-Horsham. I'd volunteer to use your opposite-loader, but I'm thinking we want to shoot our balls in auto. 
22-02-2012 15:06
ebarkerWhat part number did you use for the optical photosensor / tachometer ?
Ed
22-02-2012 15:08
Jared Russell
It is the Allen Bradley 42EF-D1MNAK-A2 from last years' Kit of Parts.
23-02-2012 08:15
lynca|
4. I'll post our full code after the competition season has begun. For achieving basic throughput between camera, laptop, and cRIO, you can use the example square tracker that comes with the SmartDashboard installer. Here is our basic algorithm:
. |
23-02-2012 08:27
Jared Russell
Here is a closeup of the shooter.
The sensor is on the left side of the picture, and two retroreflectors are mounted 180 degrees apart on one of the shooter wheels.
23-02-2012 11:09
Daniel_LaFleurWonderful bot.
A couple of questions:
1> when your manipulator flips out it looks like it breaks the front plane of the bot in more than 1 location. Are you concerned that it might be ruled 2 appendeges?
2> when your manipulator is deployed it appears to obscure your numbers. Is that just the angle of the picture?
Otherwise, the bot looks gorgeous.
23-02-2012 14:26
Joe Ross
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2> when your manipulator is deployed it appears to obscure your numbers. Is that just the angle of the picture?
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Game - The Robot » Bumper Rules Q. Can the bumpers be covered at any point by a dynamic appendage on the robot? FRC1648 2012-01-14 A. There are no rules prohibiting this. |
23-02-2012 14:33
Jared Russell
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1> when your manipulator flips out it looks like it breaks the front plane of the bot in more than 1 location. Are you concerned that it might be ruled 2 appendeges?
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23-02-2012 15:40
JesseK
23-02-2012 17:00
Jared Russell
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I do too. I wonder if penalties will factor in, because with such a wide intake you know they'll gain control of more than 3 balls if 4, 6, 8 (etc) balls exist at the ... errm, wrong ... spot. Of course, with the right timing that won't matter. There are other indirect fringe benefits to such a strategy too. (We might have the same issue...)
Can't wait to see this bot in action! |
08-05-2012 21:23
JeremyLansingSorry for the thread resurrection, but I was wondering what the flat belting material you guys used for your intake and elevator was. It looked similar to the flat urethane belting here:
http://www.mcmaster.com/#urethane-flat-belts/=hg9xsd
We are looking to build an intake and elevator in the offseason, and we were curious what it was and how it worked for you. We used the round urethane belting from McMaster this year, but we had a lot of problems with it walking across the pulleys, it looks like you didn't have to use anything to keep the belt in place. Thanks!
08-05-2012 22:16
OZ_341|
Sorry for the thread resurrection, but I was wondering what the flat belting material you guys used for your intake and elevator was. It looked similar to the flat urethane belting here:
http://www.mcmaster.com/#urethane-flat-belts/=hg9xsd We are looking to build an intake and elevator in the offseason, and we were curious what it was and how it worked for you. We used the round urethane belting from McMaster this year, but we had a lot of problems with it walking across the pulleys, it looks like you didn't have to use anything to keep the belt in place. Thanks! |
08-05-2012 23:31
Yankeefan181I just wanted to say, this robot should be an inspiration to teams everywhere. It was not built by professional engineers, and it wasn't machined to pieces. However, it was still one of (if not the) best robots in the country. Congratulations Miss Daisy, you are truly a role model team and very well-deserving of your Hall of Fame title.
08-05-2012 23:34
Andrew Schreiber|
I just wanted to say, this robot should be an inspiration to teams everywhere. It was not built by professional engineers, and it wasn't machined to pieces. However, it was still one of (if not the) best robots in the country. Congratulations Miss Daisy, you are truly a role model team and very well-deserving of your Hall of Fame title.
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08-05-2012 23:40
dodar|
To quote Jared, "every part of that bot was precision machined... to within 1/16th of an inch"
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09-05-2012 08:49
Jared Russell
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I just wanted to say, this robot should be an inspiration to teams everywhere. It was not built by professional engineers, and it wasn't machined to pieces. However, it was still one of (if not the) best robots in the country. Congratulations Miss Daisy, you are truly a role model team and very well-deserving of your Hall of Fame title.
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09-05-2012 10:06
Nick Lawrence

09-05-2012 16:41
JeremyLansing|
McMaster #6075K15 is the belt we used.
It was awesome and reliable. Very little, if any stretching. No failures and tracking was simple. Just build up a crown of electrical tape under the belt and it naturally centers. We did have to experiment with various ways of welding the belts. But that was also not too bad to figure out. This belting was just right for this application. |