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| View Poll Results: Autonomous Strategies | |||
| Get empty cell from outpost |
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22 | 9.91% |
| Track an opponent trailer, with cam, and shoot |
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86 | 38.74% |
| Randomly dodge, or evaid |
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59 | 26.58% |
| Go to the Payload Specialist to get ammo |
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11 | 4.95% |
| Just have your robot end in a good start position for teleop |
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28 | 12.61% |
| Other (Please tell what it is) |
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16 | 7.21% |
| Voters: 222. You may not vote on this poll | |||
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#1
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Re: Autonomous Strategies
autonomous we will basically move and shoot. Our movement won't be complex unless somebody else wants it to be, other wise just get away from the human player, and score, 'shrugs', the firing part is hard enough
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#2
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Re: Autonomous Strategies
It seems to me that there are two competing defensive strategies in autonomous mode. On the regolith, the robots will accelerate at less than a tenth of a g, so a good payload specialist (PS) should be able to get two or three balls into the trailer before it moves out of range. One strategy is to drive straight away, but this leaves the trailer exposed in the best attitude for scoring by the opposing PS. It might be a better strategy to spin on center to put the trailer behind the robot as quickly as possible and then back away from the PS. IF the robot is five feet tall, it will block the trailer from all but the highest arc shots.
Spinning quickly on center is problematic, especially since the trailer wheels will be on carpet in the starting position. This maneuver might best be performed by first pulling the trailer up onto the regolith, and then spinning on center 180 degrees. Last edited by Rick Wagner : 12-01-2009 at 17:07. |
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#3
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Re: Autonomous Strategies
Some sort of randomizer would be nice. Opposing teams would not be able to predict where you might go. However, this randomization might leave you in an unstratiegic spot. I.E. crashed into a wall. A controlled randomizer would be alot better. Maybe some DIP switches could feed input as to where you start at so a properly controlled course could be randomized.
One way for this to be done would be an "on-the-fly" randomizer. This randomizer would determine direction and how long it will go in that direction when it is needed. The program could check approximate postion to where it might turn out to be when it completes the "turn," modifying the values as needed to turn out not to crash into the wall. Another way would be to plan out so many turns in advance and attempt to take said course. The disadvantage is when it gets bumped it diverts the robot off-course. The on-the-fly version could have an accelerometer to detect when it gets bumped and re-randomize the course as needed After impact. This, however, is a very intensive algorithm and would take alot longer to debug than a simpler autonomous mode. However, I will try to suggest this to the team and subsequently attempt to program it if they agree. |
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#4
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Re: Autonomous Strategies
Quote:
In my experience 80% of the teams have extensive autonomous plans and only about 10% show up with auto modes that work well, mainly because it takes a working robot and a lot of time to perfect it. |
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#5
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Re: Autonomous Strategies
I think that we will see a LOT less autonomous robot scoring than this poll would suggest.
1. Shooting from a moving robot into a moving goal is a HARD problem to solve. It is doable, but expect to spend a lot of time solving this challenge that may have been better spent elsewhere. Many teams will want to sit still as they shoot, making them an easy target for human players. 2. There is no bonus for scoring in autonomous mode versus teleop. Your driver will almost certainly be a better shot (with whatever targeting software you give him) than the robot by itself. The driver knows "when to pull the trigger". The only advantage in autonomous mode is that you can victimize teams with nonfunctional autonomous modes (that just sit there). As the season - and the regionals themselves - carry on, there will be fewer and fewer of these machines. 3. The size of the goal relative to the ball means that even good shots will sometimes not end up scoring. 4. It is far easier to write an evasion program than to write a scoring program. 5. The irregularities of the orbit balls makes consistent shooting a difficult proposition. With poof balls, robots could hit the same square inch of target every time. With orbit balls (many of which will be broken), there's a lot more randomness. That said, I am 100% sure that some teams will score in autonomous mode, and will do it well. But the plurality of teams responding to this poll, I fear, will discover the issues above. |
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#6
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Re: Autonomous Strategies
In the past when your team alliance partner didn’t have an auto mode it don't hurt you, at least not much.
My fear this year is a teammate that does not have an auto mode will hurt you because for 15 seconds they just sit there and collect balls, maybe all 20. So you could have a great auto mode but your other teammates don't move and you start the player driven time with up to 40 points scored against you. |
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#7
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Re: Autonomous Strategies
In the six years of playing FIRST I have always had a good autonomous mode plan by now. But there are too many unknowns at this point to have one figured out.
Biggest issue is how well do we move and how well can we turn. Once we know some of that we will work on a good auton modes. |
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#8
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Re: Autonomous Strategies
our team plans to adopt a few differnet automous modes. The main one is to go track a oppnents trailer with a cam and shoot
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#9
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so far my team is going with the "RUN LIKE HECK" strategy during autonomous mode, although we may try to track down opposing robots
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