An Introduction to
RoboCup
By: Noureen Mehmood
Farkhanda Kiran
Overview of RoboCup
The Robot World Cup Initiative
“By the year 2050, develop a team of
fully autonomous humanoid robots
that can win against the human world
soccer champion team.”
A standard problem for AI research
Overview of RoboCup
Started in 1992 as the Robot J-League
(Japan)
First games and conferences in 1997
Kasparov's Defeat.
Overview of RoboCup
After three months of Kasparov's defeat
In Japan, the International Joint Conference on Artificial
Intelligence, 40 teams of robotics experts participated in
the world's first Robotics Cup.
A team of fully autonomous humanoid robot soccer
players shall win a soccer game, complying with the official
rules of FIFA, against the winner of the most recent World
Cup.
Overview of RoboCup
Dynamo Project, the world's first attempt at an
autonomous robotic soccer team.
The first Robotics Cup in 1997, the competition
has grown tremendously: at the 2013 RoboCup
Cont…
Soccer may be called "The Beautiful Game,"
The players as closer to "five year olds" than
Ronaldo's
"It’s not just the soccer domain, it’s really thinking
about artificial intelligence, robotics, and what they can
do in a more general context."
• Robotic soccer helps scientists gain a better
understanding of human intelligence:
• How we balance?
• How we see?
• How we process information?
SOCCER – A NEWTOY PROBLEM
FOR AI
Environment dynamic
Sensor Readings non-symbolic
Control distributed
 Physical Agent yes
Time Critical yes
The Field of Play
Rectangular field
Two goals and
field lines-5 cm wide
The longer outer field lines are called touch
lines
the shorter outer field lines are called goal
lines.
RoboCup Soccer
RoboCup Soccer is divided into the following
leagues:
Simulation League
Small-size Robot League
Middle-size Robot League
Standard Platform League
Humanoid League
Simulation League
• Independently moving software players (agents)
play soccer on a virtual field inside a computer
• There are sub leagues: 2D, 3D, 3D development
and Mixed Reality (formerly calledVisualization)
Robocup
Small-size Robot League
• Small robots of no more than 18 cm in
diameter play soccer with an orange golf
ball in teams of up to 5 robots with the size
of 6.5m x 4.5m.
• 10-minute halves.
Robocup
Middle-size Robot League
RoboCup Soccer Middle-Size more than 50
cm diameter play soccer in teams of up to 6
robots with an orange soccer ball on a field
the size of 12x18 meters.
15-minute halves.
Robots can use wireless networking to
communicate.
Robocup
Standard Platform League
The robots operate fully autonomously, i.e.
there is no external control, neither by
humans nor by computers.
The Standard Platform League replaces the
highly successful Four-Legged League. In the
league all teams use identical (i.e. standard)
robots.
Robocup
BRocks, a team from Bogazici University in
Istanbul, at the 2013 RoboCup.
Humanoid League
This league is autonomous humanoid
robots play in matches as well as "Technical
Challenges".
This league has two subcategories:
KidSize, 40-90 cm height
TeenSize, 80-140 cm height
AdultSize, 130-180 cm height
Robocup
Sony Aibo (“Four -Legged”)
League
Standard Platform League
The teams concentrate on software
development
In 1999.
Robocup
RoboCup Software
Simulator
Royal Melborune Institute of Technology (RMIT) operates
the RoboCup Practice Server simulator
Georgia Institute of Technology developed JavaSoccer, a
Java-based simulator for real robot small-size league.
Client
Client
Client
Client
Client
Client
Client
Client
Client
Client
Client
Client
Server
Soccer Monitor
Coach Coach
Monitor(s) used to visualize the action
and/or interrupt the game
Coaches (optional) to give guidance to
teams
RoboCup Clients
Player
Agent
time
play mode
my body
landmarks
other players
speech
coach instructions
dash
turn
turn head
kick
catch
speak
decision-making
strategy
Sensory Input Outputs
Sensors
These consist of objects which include a
sense method, as well as a name for a hash
table key.
Each is designed to determine the boolean
outcome of a specific predicate, such as can-
see-goal.
PEAS
PEAS
EYES
BALL
FIELD
HANDS/
LEGS
Robocup
THANK YOU

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Robocup

  • 1. An Introduction to RoboCup By: Noureen Mehmood Farkhanda Kiran
  • 2. Overview of RoboCup The Robot World Cup Initiative “By the year 2050, develop a team of fully autonomous humanoid robots that can win against the human world soccer champion team.” A standard problem for AI research
  • 3. Overview of RoboCup Started in 1992 as the Robot J-League (Japan) First games and conferences in 1997
  • 5. Overview of RoboCup After three months of Kasparov's defeat In Japan, the International Joint Conference on Artificial Intelligence, 40 teams of robotics experts participated in the world's first Robotics Cup. A team of fully autonomous humanoid robot soccer players shall win a soccer game, complying with the official rules of FIFA, against the winner of the most recent World Cup.
  • 6. Overview of RoboCup Dynamo Project, the world's first attempt at an autonomous robotic soccer team. The first Robotics Cup in 1997, the competition has grown tremendously: at the 2013 RoboCup
  • 7. Cont… Soccer may be called "The Beautiful Game," The players as closer to "five year olds" than Ronaldo's "It’s not just the soccer domain, it’s really thinking about artificial intelligence, robotics, and what they can do in a more general context."
  • 8. • Robotic soccer helps scientists gain a better understanding of human intelligence: • How we balance? • How we see? • How we process information?
  • 9. SOCCER – A NEWTOY PROBLEM FOR AI Environment dynamic Sensor Readings non-symbolic Control distributed  Physical Agent yes Time Critical yes
  • 10. The Field of Play Rectangular field Two goals and field lines-5 cm wide The longer outer field lines are called touch lines the shorter outer field lines are called goal lines.
  • 11. RoboCup Soccer RoboCup Soccer is divided into the following leagues: Simulation League Small-size Robot League Middle-size Robot League Standard Platform League Humanoid League
  • 12. Simulation League • Independently moving software players (agents) play soccer on a virtual field inside a computer • There are sub leagues: 2D, 3D, 3D development and Mixed Reality (formerly calledVisualization)
  • 14. Small-size Robot League • Small robots of no more than 18 cm in diameter play soccer with an orange golf ball in teams of up to 5 robots with the size of 6.5m x 4.5m. • 10-minute halves.
  • 16. Middle-size Robot League RoboCup Soccer Middle-Size more than 50 cm diameter play soccer in teams of up to 6 robots with an orange soccer ball on a field the size of 12x18 meters. 15-minute halves. Robots can use wireless networking to communicate.
  • 18. Standard Platform League The robots operate fully autonomously, i.e. there is no external control, neither by humans nor by computers. The Standard Platform League replaces the highly successful Four-Legged League. In the league all teams use identical (i.e. standard) robots.
  • 20. BRocks, a team from Bogazici University in Istanbul, at the 2013 RoboCup.
  • 21. Humanoid League This league is autonomous humanoid robots play in matches as well as "Technical Challenges". This league has two subcategories: KidSize, 40-90 cm height TeenSize, 80-140 cm height AdultSize, 130-180 cm height
  • 23. Sony Aibo (“Four -Legged”) League Standard Platform League The teams concentrate on software development In 1999.
  • 25. RoboCup Software Simulator Royal Melborune Institute of Technology (RMIT) operates the RoboCup Practice Server simulator Georgia Institute of Technology developed JavaSoccer, a Java-based simulator for real robot small-size league.
  • 26. Client Client Client Client Client Client Client Client Client Client Client Client Server Soccer Monitor Coach Coach Monitor(s) used to visualize the action and/or interrupt the game Coaches (optional) to give guidance to teams
  • 27. RoboCup Clients Player Agent time play mode my body landmarks other players speech coach instructions dash turn turn head kick catch speak decision-making strategy Sensory Input Outputs
  • 28. Sensors These consist of objects which include a sense method, as well as a name for a hash table key. Each is designed to determine the boolean outcome of a specific predicate, such as can- see-goal.