Autonomous Planning

[nathanww]

You CAN think of it like that, but its like saying, want to use a nuke, a conventional missile or a machine gun? How much PWNage do you want

So what you're actually thinking of is more like

void Pwn(float pwnLevel) {

My concern is that this might not give you enough precision. I'd personally go with

void Pwn(double pwnLevel) {

<seriousness>

Team 1678 has done some research on the kind of "operator as a data source" model that kamocat is describing, as well as a system for autonomous/hybrid action planning(hybrid refers generically to recieiving basic game information from an operator, not "hybrid mode"). Essentially the planning system consits of a component that "abstracts" input from sensors and/or an operator, "promotors" which respond to certain abstract conditions, and "payloads" which are instruction sets attached to the promotors which actually contain the robot's response to a certain condition. By altering "weighting factors" attached to the payloads and promotors, the overall tactics of the robot can be changed without needing to change the content of payloads(i.e.A robot can be made more agressive or more defensive by changing parameters that correspond to when agressive and defensive modes activate). In simulation(and potentially on an actual robot during the build season) a genetic algorythm can also be applied to the parameters to allow for machine learning.

Unfortunatley, we have never actually tested this system in competition due to the inherent risk(since we only go to one regional per year) and the opportunity cost of developing it, since we have a high rate of turnover in our programming team.