Newton
| Yersinia Pestis | |
 | |
| Author(s) | Zyx |
| Extends | AdvancedRobot |
| Targeting | VCS-GF Targeting |
| Movement | VCS-Wave Surfing |
| Current Version | 2.1 |
| Download | |
- Sub Pages:
- Version History - Credits
Background Information
- Bot Name
Newton
- Author
- Extends
- What's special about it?
First bot I released in the rumble.
It had Behavior selection system that allowed to activate/deactivate different guns and movements. An example would be deactivating low segmented stats on later rounds. This feature is being removed for future versions but was a nice thing.
- Great, I want to try it. Where can I download it?
All versions can be downloaded from /VersionHistory.
- How competitive is it?
- Medium, best version placed 64 in the General Rumble and #55 in PL (version: 2.1, date: 05/15/09)
Strategy
- How does it move?
VCS based Wave Surfing with some segmentation.
- How does it fire?
VCS based GuessFactor Targeting
- How does the melee strategy differ from One-on-one strategy?
One-on-one Specialist.
- How does it select a target to attack/avoid in melee?
One-on-one Specialist.
- What does it save between rounds and matches?
Gun and movement stats are saved across rounds.
Additional Information
- Where did you get the name?
My previous bots were made with no concern to the Robocode/Game Physics, when I decided to learn the exact physics the name the greatest physician popped in, so I decided to honour Sir Isaac Newton.
- Can I use your code?
I'd prefer the code is used for learning and getting ideas instead of just extracting whole pieces, but is free to use in anyway, just give appropriate credits.
- What's next for your robot?
- Complete rewrite to use what I've learned since I last worked on it.
- Does it have any White Whales?
All top bots.
- What other robot(s) is it based on?
No code is shared from any bot but many ideas come from the wiki in general and:
- Early versions were based on BasicSurfer and GuessFactor Targeting Tutorial
- A lot of code structure, segmentation and other details came from reading Dookious
