Wallaby

Wallaby
Author(s)	Wompi
Extends	AdvancedRobot
Targeting	Circular Targeting
Movement	Minimum Risk Antigrav Oscillating
Released	May 2012
Current Rating	melee (may 2012 ) 1th 68.25% (micro) 2th 67.59% (mini) 18th 64.46% (all)
Current Version	2.5
Code License	RWPCL
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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 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.

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.

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

 - engaging stronger opponent (more energy) 

 - of course hitrate (never enough)

 - would be nice to bring it in top ten general.  

Does it have any White Whales?

Of course the mighty Capulet a bot of CrazyBassoonist.

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.