Staff View: Adaptive robot soccer defence strategy via behavioural trail

Adaptive robot soccer defence strategy via behavioural trail

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 c...

Full description

Saved in:

Bibliographic Details
Main Authors:	Hendrianto Pratomo, Awang, Prabuwono, Anton Satria, Abdullah, Saman, Nasrudin, Mohammad Faidzul, Shohaimi, Muhamad Syafiq, Mantoro, Teddy
Format:	Article
Published:	2012
Subjects:	T Technology
Online Access:	http://eprints.utm.my/id/eprint/46559/ http://dx.doi.org/10.4018/jitr.2012070102
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.utm.46559
record_format	eprints
spelling	my.utm.465592017-09-13T08:26:53Z http://eprints.utm.my/id/eprint/46559/ Adaptive robot soccer defence strategy via behavioural trail Hendrianto Pratomo, Awang Prabuwono, Anton Satria Abdullah, Saman Nasrudin, Mohammad Faidzul Shohaimi, Muhamad Syafiq Mantoro, Teddy T Technology 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. 2012 Article PeerReviewed Hendrianto Pratomo, Awang and Prabuwono, Anton Satria and Abdullah, Saman and Nasrudin, Mohammad Faidzul and Shohaimi, Muhamad Syafiq and Mantoro, Teddy (2012) Adaptive robot soccer defence strategy via behavioural trail. Journal of Information Technology Research, 5 (3). pp. 25-45. ISSN 1938-7857 http://dx.doi.org/10.4018/jitr.2012070102
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	T Technology
spellingShingle	T Technology Hendrianto Pratomo, Awang Prabuwono, Anton Satria Abdullah, Saman Nasrudin, Mohammad Faidzul Shohaimi, Muhamad Syafiq Mantoro, Teddy Adaptive robot soccer defence strategy via behavioural trail
description	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.
format	Article
author	Hendrianto Pratomo, Awang Prabuwono, Anton Satria Abdullah, Saman Nasrudin, Mohammad Faidzul Shohaimi, Muhamad Syafiq Mantoro, Teddy
author_facet	Hendrianto Pratomo, Awang Prabuwono, Anton Satria Abdullah, Saman Nasrudin, Mohammad Faidzul Shohaimi, Muhamad Syafiq Mantoro, Teddy
author_sort	Hendrianto Pratomo, Awang
title	Adaptive robot soccer defence strategy via behavioural trail
title_short	Adaptive robot soccer defence strategy via behavioural trail
title_full	Adaptive robot soccer defence strategy via behavioural trail
title_fullStr	Adaptive robot soccer defence strategy via behavioural trail
title_full_unstemmed	Adaptive robot soccer defence strategy via behavioural trail
title_sort	adaptive robot soccer defence strategy via behavioural trail
publishDate	2012
url	http://eprints.utm.my/id/eprint/46559/ http://dx.doi.org/10.4018/jitr.2012070102
_version_	1643652071047561216
score	13.223943

Adaptive robot soccer defence strategy via behavioural trail

Similar Items