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Novice Learning in Robot Soccer Calibration

  • Conference paper
Intelligent Robotics Systems: Inspiring the NEXT (FIRA 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 376))

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Abstract

Robot soccer has been made and known for developing artificial intelligence research in this 21st Century. This study starts from a condition and routine problems in a wide scope where technologies were used to associate and test in this field. Robot soccer calibration is a case study that should be learned properly as it is the most critical part in Robot Soccer Competition. The objective of this paper is to imitate the easy and fastest learning process for a novice calibration learner to find an optimum value of calibration parameters. To ensure that the team’s robots move according to the strategy, players should obtain optimal value of image calibration. Two elements affecting in producing the best calibrator player are student emotions and novice learning module. Determining the best parameter value would be time consuming. An easy method is proposed to ensure that the optimal values on robot soccer calibration could be obtained. This study determined several parameters that affect image calibration. This study was made as a guideline for further studies which will result in a method or other techniques that are useful for academic interest and for the players in the robot soccer competition.

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Author information

Authors and Affiliations

  1. Pattern Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Technology and Information Science, Universiti Kebangsaan Malaysia, Selangor, Malaysia

    Maryam Jaafar, Siti Norul Huda Sheikh Abdullah, Nur Saadah Bokhari & Dwi Yanuar Panji Tresna

Authors
  1. Maryam Jaafar
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  2. Siti Norul Huda Sheikh Abdullah
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  3. Nur Saadah Bokhari
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  4. Dwi Yanuar Panji Tresna
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Editor information

Editors and Affiliations

  1. Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Khairuddin Omar  & Mohammad Faidzul Nasrudin  & 

  2. Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia

    Md Jan Nordin

  3. National University of Singapore, Singapore

    Prahlad Vadakkepat

  4. Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor D.E., Malaysia

    Anton Satria Prabuwono  & Siti Norul Huda Sheikh Abdullah  & 

  5. Autonomous Agents Lab, University of Manitoba, R3T 2N2, Winnipeg, Manitoba, Canada

    Jacky Baltes

  6. Center for Artificial Intelligence and Robotics (CAIRO), Fakulti Kejuruteraan Elektrik, Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor, Malaysia

    Shamsudin Mohd Amin

  7. Department of Electrical & Electronics Engineering, Faculty of Engineering, University Putra Malaysia, 43400 UPM, Serdang, Selangor

    Wan Zuha Wan Hassan

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© 2013 Springer-Verlag Berlin Heidelberg

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Jaafar, M., Sheikh Abdullah, S.N.H., Bokhari, N.S., Panji Tresna, D.Y. (2013). Novice Learning in Robot Soccer Calibration. In: Omar, K., et al. Intelligent Robotics Systems: Inspiring the NEXT. FIRA 2013. Communications in Computer and Information Science, vol 376. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40409-2_12

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  • DOI: https://doi.org/10.1007/978-3-642-40409-2_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40408-5

  • Online ISBN: 978-3-642-40409-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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