Adaptive robot soccer defence strategy via behavioural trail

Awang Hendrianto-Pratomo, Anton Satria Prabuwono, Siti Norul Huda Sheikh Abdullah, Mohammad Faidzul Nasrudin, Muhamad Syafiq Shohaimi, Teddy Mantoro

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Robot soccer is a challenging platform for multi-agent research, involving topics such as real-time image processing and control. A team of robots must work together to put the ball in the opponent's goal while at the same time defending their own goal. A good strategy for the robot defenders can determine who wins the robotic soccer game. Therefore, the goal of this study is to propose a strategy for the defenders using a production rule based on state diagrams. The rule can facilitate easy and rapid comprehension of certain behaviors with respect to two indicators, such as condition and action. The authors determine five key aspects as conditions, including the positions of two defender robots, the position of the goalkeeper and the ball, and coordination between two defender robots and the goalkeeper robot. Each robot has been set its own defence area and specific actions. They conducted three experiments namely simulator testing, real time testing, and ping pong testing to evaluate their proposed defence strategy. The experimental results show that the authors' proposed strategy versus three state of the art strategies can defeat up to 92% of all types of attack modes. Meanwhile, in the ping pong testing, their proposed strategy can still protect any goal entering from different attacking modes even though only one or two robots are active in the defence area.

Original languageEnglish
Pages (from-to)25-45
Number of pages21
JournalJournal of Information Technology Research
Volume5
Issue number3
DOIs
Publication statusPublished - Jul 2012

Fingerprint

Intelligent robots
Robots
Testing
Robotics
Image processing
Simulators

Keywords

  • Defender Strategy
  • Robot Soccer
  • Robotics
  • State Algorithm
  • Strategy Role

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Adaptive robot soccer defence strategy via behavioural trail. / Hendrianto-Pratomo, Awang; Prabuwono, Anton Satria; Sheikh Abdullah, Siti Norul Huda; Nasrudin, Mohammad Faidzul; Shohaimi, Muhamad Syafiq; Mantoro, Teddy.

In: Journal of Information Technology Research, Vol. 5, No. 3, 07.2012, p. 25-45.

Research output: Contribution to journalArticle

Hendrianto-Pratomo, Awang ; Prabuwono, Anton Satria ; Sheikh Abdullah, Siti Norul Huda ; Nasrudin, Mohammad Faidzul ; Shohaimi, Muhamad Syafiq ; Mantoro, Teddy. / Adaptive robot soccer defence strategy via behavioural trail. In: Journal of Information Technology Research. 2012 ; Vol. 5, No. 3. pp. 25-45.
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