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Golf-Playing DARwIn-OP: A Theoretical Approach

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Robot Intelligence Technology and Applications 4

Abstract

This paper presents a theoretical approach for a humanoid robot performing autonomously in a golf setting. The main concentration of this research is on using vision and mathematical calculations to perform and evaluate the success of each test. Most of the problems encountered in making a humanoid perform complex actions like playing golf arise from the constraints in their features and implementations. Parts of the solution comprise linear interpolation and angle calculation. Challenges faced and solved include some that will lead to a better understanding of human–robot interaction.

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References

  1. Ha, I., Tamura, Y., Asama, H., Han, J., Hong, D.W.: Development of open humanoid platform DARwIn-OP. In: SICE Annual Conference, Tokyo, Japan (2011)

    Google Scholar 

  2. Eaton, M.: Evolutionary Humanoid Robotics. Springer, New York (2015)

    Google Scholar 

  3. Gomez, M., Kim, Y., Matson, E.T.: Iterative learning system to intercept a ball for humanoid soccer. In: International Conference on Automation, Robotics and Applications, Queenstown, New Zealand (2015)

    Google Scholar 

  4. Takahashi, T., Shimizu, M.: Is that Robot Allowed to Play in Human Versus Robot Soccer Games. In: Lecture Notes in Artificial Intelligence. Springer, Switzerland (2015)

    Book  Google Scholar 

  5. Jardón, A., Zafra, P., Martínez de la Casa, S., Giménez, A.: CEABOT: Nationalwide Little Humanoid Robots Coimpetition; Rules, Experiences and New Challenges. Venice, Italy (2008)

    Google Scholar 

  6. Benavidez, P., Gleinser, C., Jaimes, A., Lbrado, J., Riojas, C., Jamshidi, M.: Design of Semi-Autonomous Robots for Competitive Robotics. Puerto Vallarta, Mexico (2012)

    Google Scholar 

  7. Tazhibayeva, S.B., Kuanyshbaiuly, M., Aldabergenov, A., Hong, J.H., Matson, E.T.: Bowling with the DARwIn-Op Humanoid Robot. In: Robot Intelligence Technology and Applications 2, pp. 733–741. Springer, Switzerland (2014)

    Book  Google Scholar 

  8. Kober, P.J., Müllling, K., Krämer, O., Neumann, G.: Towards robot skill learning: from simple skills to table tennis. In: European Conference, ECML PKDD, Berlin Heidelberg (2013)

    Google Scholar 

  9. Mülling, K., Kober, J., Kroemer, O., Peters, J.: Learning to select and generalize striking movements in robot table tennis. Int. J. Robot. Res. 263–279 (2013)

    Google Scholar 

  10. Sun, Y., Xiong, R., Zhu, Q., Wu, J., Chu, J.: Balance Motion Generation for a Humanoid Robot Playing Table Tennis. Bled, Slovenia (2011)

    Book  Google Scholar 

  11. Lund, H.H., Nielsen, J.: An edutainment robotics survey. In: International Symposium on Human and Artificial Intelligence Systems: The Dynamic Systems Approach for Embodiment and Sociality, Fukui, Japan (2002)

    Google Scholar 

  12. Pereira, N., Ribeiro, F., Lopes, G., Whitney, D., Lino, J.: A golf ball picking robot design and development. In: International Conference on Experimental Mechanics, Porto, Portugal (2015)

    Google Scholar 

  13. Wu, S.-L., Cheng, M.-Y., Hsu, W.-C.: Design and implementation of a prototype vision-guided golf-ball collecting mobile robot. In: International Conference on Mechatronics, Taipei, Taiwan (2005)

    Google Scholar 

  14. Camarano, T., Beck, J., Li, B., Wu, W., Chow, L., Wu, T., Drumm, D., Lebouitz, M., Napolitano, D.: Kinematic and dynamic modeling of robot manipulator for golf swing training system. In: IEEE International Conference on Industrial Technology (ICIT), Seville, Spain, 2015. Kinematic and Dynamic Modeling of Robot Manipulator for Golf Swing Training System. Camarano, T., et al. (ed.) Seville, IEEE International Conference on Industrial Technology (ICIT). IEEE, Spain (2015)

    Google Scholar 

  15. Jabson, N.G., Leong, K.G.B., Licarte, W., Oblepias, G.M.S., Palomado, E.M.J., Dadios, E.P.: The autonomous golf playing micro robot with global vision and fuzzy logic controller. Int. J. Smart Sens. Intell. Syst. 1(4) (2008)

    Google Scholar 

  16. Jouaneh, M., Carnevale, P.: Watch out, tiger woods! [golf playing robot]. Robot. Autom. Mag. 10(2), 56–60 (2003)

    Article  Google Scholar 

  17. Williams II, R.L.: DARwIn-OP humanoid robot kinematic. In: International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Chicago, IL, USA (2012)

    Google Scholar 

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Correspondence to Mauricio Gomez .

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Gomez, M., Khaday, B., Gonzalez, A., Esmaeili, A., Matson, E.T. (2017). Golf-Playing DARwIn-OP: A Theoretical Approach. In: Kim, JH., Karray, F., Jo, J., Sincak, P., Myung, H. (eds) Robot Intelligence Technology and Applications 4. Advances in Intelligent Systems and Computing, vol 447. Springer, Cham. https://doi.org/10.1007/978-3-319-31293-4_33

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  • DOI: https://doi.org/10.1007/978-3-319-31293-4_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31291-0

  • Online ISBN: 978-3-319-31293-4

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