Difference between revisions of "Robocup Software Tasks 2013"
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| − | The ball trajectory noticeably curves when robots are chipping during corner kicks. | + | The ball trajectory noticeably curves when robots are chipping during corner kicks. Corner kicks are a high scoring play, and some teams will chip right into your defense area and blitz the goalie. |
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Revision as of 16:10, 12 September 2012
Contents
Overview
This page contains the list of software related tasks/projects/bugs for the 2013 year. People can attach themselves to a project or task by adding their name to the "Persons: " list.
Logging
SSL Standardized Logger and Viewer
A standardized SSL Logger would be a stand-alone program that will allow logging of RoboCup matches into a standardized logging format. Likewise, the viewer would provide playback of the logged files. This will allow other teams (and us) to share their logs of past RoboCup matches. At the Mexico 2012 competition, the Brazilian team RoboFEI mentioned that they would work with us on this project.
We currently have a good logging system and viewer, but it is in our own format and contains play/robot statues information and the like.
Priority: ~Low
Persons:
Run soccer from log file
Some subgoals for this project:
- Passing in the logged radio packets, vision frame, back into soccer so that we can step our AI through a log file.
- Starting the simulator from the log frame, allowing our AI to run robots in simulation against the opponents' "ghosts", i.e. the opposing team in the logged game.
Priority:
Persons:
Calculate latency
There are several different sources of latency in the system:
- From cameras -> SSL Vision -> Soccer
- The cameras are not synchronized
- From Soccer -> Robots
- From Robots -> Soccer
- Code execution in Soccer
The idea is to calculate the various latencies in the system and use those to make more accurate decisions based on predicted ball and robot location.
Priority:
Persons:
Latency panel in GUI
Priority:
Persons:
Calibrating Soccer to recognize fast kicks
When a robot kicks the ball at 8+m/s, SSL Vision will often lose track of the ball in the first few seconds/milliseconds. The idea here is to fit a curve to ball speed, location, and camera frame in order to generate a predicted ball location. This can help us both execute and defend against passing plays.
Priority:
Persons:
Recognizing chips from curvature of the ball
The ball trajectory noticeably curves when robots are chipping during corner kicks. Corner kicks are a high scoring play, and some teams will chip right into your defense area and blitz the goalie.
Priority:
Persons:
