The AI World Cup simulation environment. Participants of AI World Cup can download the program to develop their own algorithm for AI Soccer, AI Commentator, or AI Reporter. After development, participants of AI World Cup can submit their programs to aiwc@rit.kaist.ac.kr. We will check if your program runs correctly on our server where the qualifying/main rounds will be run and reply back as soon as possible. Regarding the deadlines, please refer to our AI World Cup Website.
How to download the simulation program
Method 1. Go to releases and download the latest version.
Method 2. Use following git command
git clone https://github.com/aiwc/test_world.git --recurse-submodulesHow to run the simulation program
Please refer to the Wiki pages.
Descriptions
controllers: Contains programs for managing AI World Cup simulation game system (You can modify the controllers to aid your development. However, the games at the competition will use the default controllers)
soccer_robot: A program that changes robot wheel movements based on received data
supervisor: A referee program that manages AI World Cup games as whole (Participant programs communicate with this program to control the robots/make comments/submit a report)
examples: Contains sample programs participants can refer to (Participants may implement AI programs referring to the sample programs provided in this directory)
common: Contains a basic interface for C++ information handling and communication with the simulation program
extlibs: Contains external libraries used in sample programs
team_a_data, team_b_data, commentator_data, and reporter_data: Directories where participants' program may write some files into if needed
Remaining directories contain samples participants can refer to.
general_check-variables: A program that prints game information variables sent from the simulation program to participants program
general_frame-skip: A program that implements framing skipping. Frame skipping is advised when your program takes more than 50 ms in each game frame in generating the output control signal
general_image-fetch: A program that shows the game image frames using OpenCV
player_deep-learning-play and player_deep-learning-train: Programs that implement a base skeleton for AI Soccer deep learning using Deep-Q-Network (DQN)
player_random-walk: An AI Soccer program that simply sets robot wheel speeds to random value in each game frame
player_rulebased-A, player_rulebased-B: Programs that implement a rule-based control of a team in AI Soccer ('rulebased-B' is a simplified version of 'rulebased-A')
player_skeleton: A base skeleton for AI Soccer program
commentator_skeleton: A base skeleton for AI Commentator program
reporter_skeleton: A base skeleton for AI Reporter program
extlibs: Contains external libraries used in AI World Cup simulation
plugins: Contains a physics plugin used for ball-robot collision detection
protos: Contains AI World Cup object models (robot, ball, stadium, etc.)
worlds: Contains AI World Cup simulation world files (Files in this directory can be run using Webots Robot Simulator)
config.json: Configuration file for setting player executables, setting game duration, and setting some rules on/off for effective training. Please refer to the Wiki page for parameter descriptions (Participants should modify the player information in this file to tell the simulation which program to execute)