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Process Modeling and Task Execution of FIRA Weight-Lifting Games with a Humanoid Robot

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Advances in Autonomous Robotics (TAROS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7429))

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Abstract

This paper presents a model-based implementation approach for controlling a humanoid robot to play weight-lifting games in FIRA HuroCup League. The Petri net-based wireless sensor node architecture (PN-WSNA) is used in this paper to perform the decision making for playing weight-lifting games according to visual perceptions. Furthermore, the PN-WSNA models are executed with a PN-WSNA inference engine, and the inferred decision is applied to an autonomous small size humanoid robot. Finally, the execution of the PN-WSNA models for playing a weight-lifting game is discussed to validate the feasibility of using PN-WSNA-based implementation approaches.

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© 2012 Springer-Verlag Berlin Heidelberg

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Kuo, CH., Kuo, YC., Chen, TS. (2012). Process Modeling and Task Execution of FIRA Weight-Lifting Games with a Humanoid Robot. In: Herrmann, G., et al. Advances in Autonomous Robotics. TAROS 2012. Lecture Notes in Computer Science(), vol 7429. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32527-4_32

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  • DOI: https://doi.org/10.1007/978-3-642-32527-4_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32526-7

  • Online ISBN: 978-3-642-32527-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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