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Fuzzy Basketball Throwing Strength Control System for Vision-Based Humanoid Robot

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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

A fuzzy basketball throwing strength control system for vision-based humanoid robot is proposed in this paper. The implemented method is able to adjust the speed of throwing ball for joining the basketball event in HuroCup (Humanoid Robot World Cup Soccer Tournament). The proposed method speeds up the aiming time and increases the shooting accuracy. A two inputs and one output fuzzy system are designed in this paper. Two inputs, the distance and the voltage, are used for the implemented method. The robot detects the distance between the robot and basket based on the robot’s vision system. An analog to digital system is applied to measure the robot’s voltage, which changes the torque of the motor. The output value of the fuzzy system is the motor speed of the shoulder. The proposed fuzzy system is able to decide the motor speed of the shoulder to throw the table tennis ball, which is substituted for the basketball. The effectiveness of the system is demonstrated in an empirical evaluation.

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References

  1. http://www.robocup.org/

  2. http://www.fira.net/

  3. Wong, C.C., Cheng, C.T., Huang, K.H., Yang, Y.T.: Fuzzy control of humanoid for obstacle avoidance. International Journal of Fuzzy Systems 10(1), 261–270 (2008)

    Google Scholar 

  4. Cheng, C.T., Chen, H.C., Hu, Y.Y., Wong, C.C.: Fuzzy balancing control of a small-size humanoid robot based on accelerometer. International Journal of Fuzzy Systems 11(3), 146–153 (2009)

    Google Scholar 

  5. Zadeh, L.A.: Fuzzy set. Information of the Control 8, 338–353 (1956)

    Article  MathSciNet  Google Scholar 

  6. Zadeh, L.A.: A rationale for fuzzy control. Transactions of the ASME Journal Dynamic Systems Measurement, and Control 94, 3–4 (1972)

    Article  Google Scholar 

  7. Zadeh, L.A.: Outline of a new approach to the analysis complex systems and decision processes. IEEE Transactions Systems, Man, and Cybernet 3, 28–44 (1973)

    Article  MathSciNet  MATH  Google Scholar 

  8. Chen, S.Y.: Kalman Filter for Robot Vision: A Survey. IEEE Transactions on Industrial Electronics 59, 4409–4420 (2012)

    Article  Google Scholar 

  9. Welch, G., Bishop, G.: An Introduction to the Kalman Filter. University of North Carolina at Chapel Hill Department of Computer Science Chapel Hill, NC 27599-3175

    Google Scholar 

  10. http://www.cs.unc.edu/~welch/kalman/kalmanIntro.html

  11. Hwang, W.J., Park, H.I., Kwon, M.L., Anjum, J.H., Kim, C.H., Lee, K.S., Kim, Cho, D.D.: Vision tracking system for mobile robots using twoKalman filters and a slip detector. In: 2010 International Conference on Control Automation and Systems, pp. 3778–3783 (2010)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Tamkang University, New Taipei City, Taiwan, ROC

    Chi-Tai Cheng, Ching-Chang Wong, Yueh-Yang Hu, I-Hsiang Tseng, Yi-Fan Chung & Min-Wei Chou

Authors
  1. Chi-Tai Cheng
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  2. Ching-Chang Wong
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  3. Yueh-Yang Hu
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  4. I-Hsiang Tseng
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  5. Yi-Fan Chung
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  6. Min-Wei Chou
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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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Cheng, CT., Wong, CC., Hu, YY., Tseng, IH., Chung, YF., Chou, MW. (2013). Fuzzy Basketball Throwing Strength Control System for Vision-Based Humanoid Robot. 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_24

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  • DOI: https://doi.org/10.1007/978-3-642-40409-2_24

  • 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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