Multi Agent Planning System for the

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Multi Agent Planning System for the
The Origins of MAPS UQ RoboRoos
RoboCup Participant
Changes made to MAPS - Number of players per
team - The Field Size - The players source of
vision
What is RoboCup - Research Artificial
Intelligence in adaptation of the automated
clients in various domains and conditions - A
group of Japanese researchers originally used
soccer as a testing ground. - Due to the
interest in the research, RoboCup became a global
competition.
Into the RoboCup Simulation League
Future Work on MAPS - Redefinition of the MAPS
grid - Player Communication - Dynamic
Positioning and Role Exchange - Learning
Algorithms
What is the Multi Agent Planning System -
Observe the current state of the environment
and create a grid-based model of the world -
Derive a command based on potential fields
created from the players world model
MAPS representation of a field
Dynamic Positioning System
The Crocaroos without MAPS
Learning Algorithms
What players look like on MAPS