Difference between revisions of "Wallaby"

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m (wallaby page update)
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| movement      = Minimum Risk <br> Antigrav  <br> Oscillating
 
| movement      = Minimum Risk <br> Antigrav  <br> Oscillating
 
| released        = May 2012
 
| released        = May 2012
| rating          =  melee (may 2012 ) <br> 1th  68.25% (micro) <br> 2th 67.59% (mini) <br> 18th 64.46% (all)  
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| rating          =  melee (may 2012 ) <br> 1th  68.49% (micro) <br> 2th 67.88% (mini) <br> 15th 64.80% (all)  
| current_version = 2.5
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| current_version = 3.1
 
| license        = [[RWPCL]]
 
| license        = [[RWPCL]]
| download_link  = http://www.casepool.de/robocode/wompi.Wallaby_2.5.jar  
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| download_link  = http://www.casepool.de/robocode/wompi.Wallaby_3.1.jar  
 
| isOneOnOne      = false
 
| isOneOnOne      = false
 
| isMelee        = true
 
| isMelee        = true
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; How does it [[Movement|move]]?
 
; How does it [[Movement|move]]?
The movement is a combination from Minimum Risk, Antigrav and Oscillation. All three movements are combined together but the weight changes as the battle progresses. At battle start the antigrav is a major factor to stay out of the initial heat. After the herd is thinned the oscilation kicks in and wallaby goes oscillating to mid combat distance.
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The movement is a combination of Minimum Risk, Antigrav and Oscillation. All three movements are combined together but the weight changes as the battle progresses. At battle start the antigrav is a major factor to stay out of the initial heat. After the herd is thinned the oscilation kicks in and wallaby goes oscillating to mid combat distance.
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<br>[[/WallabyMovement| Wallaby Movement]]
  
 
; How does it fire?
 
; How does it fire?
 
The gun is designed for close to mid combat distance and is a precise circular gun with wall handling and wall backtracking. The target is averaged by velocity and heading.
 
The gun is designed for close to mid combat distance and is a precise circular gun with wall handling and wall backtracking. The target is averaged by velocity and heading.
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<br>[[/WallabyTargeting| Wallaby Targeting]]
  
 
; How does the [[melee]] strategy differ from [[One-on-one]]  strategy?
 
; How does the [[melee]] strategy differ from [[One-on-one]]  strategy?
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; What does it save between rounds and matches?
 
; What does it save between rounds and matches?
Between matches nothing. Between rounds average velocity and heading.   
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Between matches nothing.  
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<br>Between rounds average velocity and heading.   
  
 
== Additional Information ==
 
== Additional Information ==
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; What's next for your robot?
 
; What's next for your robot?
There are alot of things i don't like and want to be fixed. <br>
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There are alot of things i don't like and want to be fixed.
  - to much wall hitting<br>
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* to much wall hitting
  - engaging stronger opponent (more energy) <br>
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** hmm maybe this isn't so bad at all, at least it stays very close to the edge
  - of course hitrate (never enough)<br>
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* engaging stronger opponent (more energy)
  - would be nice to bring it in top ten general.   
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**be prepared for v3.2
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* of course hitrate (never enough)  
 +
** yes still true
 +
* would be nice to bring it in top 10 general  
 +
** well top 15 is reached and Wallaby starts to win against top 9 bots (of  course by a very small margin).   
  
 
; Does it have any [[White Whale]]s?
 
; Does it have any [[White Whale]]s?
 
Of course the mighty [[Capulet|Capulet]] a bot of [[User:CrazyBassoonist|CrazyBassoonist]].  
 
Of course the mighty [[Capulet|Capulet]] a bot of [[User:CrazyBassoonist|CrazyBassoonist]].  
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There are new Whales in the sea and Wallaby is not that big swimmer.
  
 
; What other robot(s) is it based on?
 
; What other robot(s) is it based on?

Revision as of 15:00, 23 May 2012

Wallaby
Author(s) Wompi
Extends AdvancedRobot
Targeting Circular Targeting
Movement Minimum Risk
Antigrav
Oscillating
Released May 2012
Current Rating melee (may 2012 )
1th 68.49% (micro)
2th 67.88% (mini)
15th 64.80% (all)
Current Version 3.1
Code License RWPCL
Download

Sub-Pages: Version History | Challenges

Background Information

What's special about it?

Nothing really special. It is designed as close combat bot but over the time it changed to middle distance. I think the combination of movement and gun makes it working

How competitive is it?

Right now, very.

Strategy

How does it move?

The movement is a combination of Minimum Risk, Antigrav and Oscillation. All three movements are combined together but the weight changes as the battle progresses. At battle start the antigrav is a major factor to stay out of the initial heat. After the herd is thinned the oscilation kicks in and wallaby goes oscillating to mid combat distance.
Wallaby Movement

How does it fire?

The gun is designed for close to mid combat distance and is a precise circular gun with wall handling and wall backtracking. The target is averaged by velocity and heading.
Wallaby Targeting

How does the melee strategy differ from One-on-one strategy?

It's a full melee designed bot.

How does it select a target to attack in melee?

Closest

What does it save between rounds and matches?

Between matches nothing.
Between rounds average velocity and heading.

Additional Information

Can I use your code?

Sure, its open source.

What's next for your robot?

There are alot of things i don't like and want to be fixed.

  • to much wall hitting
    • hmm maybe this isn't so bad at all, at least it stays very close to the edge
  • engaging stronger opponent (more energy)
    • be prepared for v3.2
  • of course hitrate (never enough)
    • yes still true
  • would be nice to bring it in top 10 general
    • well top 15 is reached and Wallaby starts to win against top 9 bots (of course by a very small margin).
Does it have any White Whales?

Of course the mighty Capulet a bot of CrazyBassoonist.

There are new Whales in the sea and Wallaby is not that big swimmer.

What other robot(s) is it based on?

It combines the basic concepts from robowiki and is not based on a particular bot.

Credits

Credit for inspiration goes to CrazyBassoonist. I learned alot just by watching his bots.
Credit for code size goes to alot of nano bot authors. Mainly the top ranking melee nano bots.
And of course Credit to all robowiki contributors for making it easy to learn robocode from the scratch.