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International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 2013: Recent Trends in Applied Artificial Intelligence pp 292–301Cite as

Designing and Optimization of Omni-Directional Kick for Bipedal Robots

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNAI,volume 7906)

Abstract

The paper presents designing and optimization of key-frame based kick skills for bipedal robots. The kicks, evolved via evolutionary algorithms, allow a humanoid robot to kick in straight, sideways, backward and in angular directions. Experiments are conducted on the simulated model of Nao robot that is being used in the RoboCup Soccer 3D Simulation league. The initial sets of kicks were manually designed by human experts and were passed as seed values to the optimization process. Correctness in the kick direction and the distance covered by the ball were used as the fitness criteria. The findings of the paper not only significantly improves the capability of our RoboCup Soccer 3D team but also provides insight in the designing and optimization of key-frame based kicks that can be utilized by other teams participating in bipedal soccer.

Keywords

  • Joint Angle
  • Multiagent System
  • Humanoid Robot
  • Bipedal Robot
  • Reachable Space

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-642-38577-3_30
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Author information

Authors and Affiliations

  1. Artificial Intelligence Lab, Faculty of Computer Science, Institute of Business Administration, Karachi, Pakistan

    Syed Ali Raza & Sajjad Haider

Authors
  1. Syed Ali Raza
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  2. Sajjad Haider
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Texas State University, 78666, San Marcos, TX, USA

    Moonis Ali

  2. Agent Systems Research Group, Department of Computer Science, Faculty of Sciences, VU University Amsterdam, De Boelelaan 1081, 1081, Amsterdam, HV, The Netherlands

    Tibor Bosse

  3. Interactive Intelligence Group, Department of Intelligent Systems, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands

    Koen V. Hindriks & Catholijn M. Jonker & 

  4. Computational Intelligence Group, Department of Computer Science, Faculty of Sciences, VU University Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands

    Mark Hoogendoorn

  5. Agent Systems Research Group, Department of Computer Science, Faculty of Sciences, VU University Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands

    Jan Treur

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Raza, S.A., Haider, S. (2013). Designing and Optimization of Omni-Directional Kick for Bipedal Robots. In: Ali, M., Bosse, T., Hindriks, K.V., Hoogendoorn, M., Jonker, C.M., Treur, J. (eds) Recent Trends in Applied Artificial Intelligence. IEA/AIE 2013. Lecture Notes in Computer Science(), vol 7906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38577-3_30

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  • DOI: https://doi.org/10.1007/978-3-642-38577-3_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38576-6

  • Online ISBN: 978-3-642-38577-3

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