Difference between revisions of "Gilgalad"

From Robowiki
Jump to navigation Jump to search
(New version of Gilagald)
m (add a picture)
Line 1: Line 1:
 
{{Infobox Robot
 
{{Infobox Robot
 
| author          = [[User:AW|AW]]
 
| author          = [[User:AW|AW]]
 +
| image          = GilgaladFiring.png
 +
| caption        = [[:Image:GilgaladFiring.png|Full Size]]
 
| extends        = [[AdvancedRobot]]
 
| extends        = [[AdvancedRobot]]
 
| targeting      = KNN GF
 
| targeting      = KNN GF

Revision as of 18:31, 11 March 2013

Gilgalad
GilgaladFiring.png
Full Size
Author(s) AW
Extends AdvancedRobot
Targeting KNN GF
Movement Wave Surfing
Current Version 1.99.3
Download


Sub-pages:
Version_History - targetingStrategy - movementStrategy

Background Information

What's special about it?
My first "good" bot. (Meaning its code is not a huge mess)
It is the best robot that doesn't use Rednaxela's kD-Tree.
It is the first robot to use Variable bandwidth in surfing.
It was one of the first robots to use Precise Positional MEA in targeting.
How competitive is it?
As of 9/24/2012 it is ranked 3rd in the 1v1 general rumble.

Strategy

How does it move?
it calls setTurnRightRadians() and setAhead(). See Gilgalad/movementStrategy.
How does it fire?
it calls setFireBullet(). See Gilgalad/targetingStrategy.

credits

Thanks go to the following people (the list is in no way complete and will probably never be so) :

  • Voidious -- Wave Surfing tutorial, and various ideas from Diamond.
  • Rednaxela -- Precise intersection and forcing me to improve my kD-tree ;).

Motto

Strength in numbers.

After adding about five new classification schemes to my movement, I thought this made sense.

Additional Information

Can I use your code?
Yes, it is released under the FreeBSD license. (The source is in the jar file and the license should be at the top of each .java file)
What robots is it based on?
  • The code is my own, but I did get ideas from other robots. See the credits for more details.
What's next for your robot?
for the immediate future:
  • bug hunting
  • Rewrite some movement code.
  • an R-tree is in development.
  • Use a boosting algorithm for movement

I also plan to try LtL targeting and movement (secret), and Neural networks.