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Vision Controlled Humanoid Robot Tool-Kit

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Book cover Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3213))

Abstract

This paper introduces a novel parallelised vision based intelligent controller for a Humanoid Robot system. This intelligent controller is simulated dynamically and its performance evaluated for a standard benchmark problem. The parallel nature of the simulation architecture which can separate the image processing and control algorithms allows the simulation to progress in real-time or faster than real-time. This allows automated control algorithms using neural network or evolutionary algorithms to be efficiently and effectively developed.

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References

  1. Hashimoto, S., Takanobu, H.: Humanoid Robots in Waseda University - Hadaly-2 and WABIAN - IEEE-RAS. In: International Conference on Humanoid Robots CD-ROM (2000)

    Google Scholar 

  2. Hired, K., Hirose, M., Hedkawa, Y., Takenaka, T.: The development of Honda humanoid robot. In: Proc of the Int Conf on Robotics and Automation, vol. 2, pp. 1321–1326 (1998)

    Google Scholar 

  3. Pratt, J., Pratt, G.: Intuitive control of a planar bipedal walking robot. In: IEEE Conf on Robotics and Automation, pp. 2014–2021 (1998)

    Google Scholar 

  4. Shih, C.L.: The Dynamics and Control of a Biped Walking robot with seven degrees of freedom.  118(4), 683–690 (1996)

    Google Scholar 

  5. Raibert, M.H., Brown, H.B., Chepponis, M.: Experiments in Balance with a 3D One-Legged Hopping Machine. Int Journal of Robotics Research 3(2), 75–92 (1984)

    Article  Google Scholar 

  6. Li, Z.X.: Strategies for Biped Gymnastics, pp. 433–437 (1989)

    Google Scholar 

  7. Zhou, C., Meng, Q.: Dynamic balance of a biped robot using fuzzy reinforcement learning agents. Fuzzy Sets and Systems 134(1), 169–187 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  8. Okada, K., Kino, Y., Kanehiro, F., Kuniyoshi, Y., Inaba, M., Inoue, H.: Rapid Development System for Humanoid Vision-based Behaviours with Real-Virtual Common Interface. In: Proc. Int. Conf. on Intelligent Robotics and Systems(IROS) (2002)

    Google Scholar 

  9. Cupec, R., Denk, J., Schmidt, G.: Practical Experience with Vision-Based Biped Walking. In: Proc 8th Int Symp on Experiemntal Robotics (ISER 2002) (2002)

    Google Scholar 

  10. Hirai, K., Hirose, M., Haikawa, Y., Takenaka, T.: The development of honda humanoid robot. In: IEEE Conf on Robotics and Automation (1998)

    Google Scholar 

  11. Ishida, T., Kuroki, Y., Yamaguchi, J., Fujita, M., Doi, T.T.: Motion Entertainment by a Small Humanoid Robot Based on OPEN_R, IEEE/RSJ. In: Int Conf on Intelligent Robots and Systems (2001)

    Google Scholar 

  12. Pratt, J.E.: Exploiting Inherent Robustness and Natural Dynamics in the Control of Bipedal Walking Robots, unpublished PhD thesis, MIT (2000)

    Google Scholar 

  13. Pratt, J., Pratt, G.: Exploiting Natural Dynamics in the Control of a 3D Bipedal Walking Simulation. In: Proc of the Int Conf on Climbing and Walking Robots (1999)

    Google Scholar 

  14. Pratt, J., Kun, A.: Hurosot Simulation: Rules of the Game. FIRA web site, http://www.fira.net

  15. Park, J.H.: Impedance Control for Biped Robot Locomotion. IEEE Transactions on Robotics and Automation 17(6) (2001)

    Google Scholar 

  16. Jagannathan, K., Pratt, G., Pratt, J., Persaghian, A.: Pseudo-trajectory Control Scheme for a 3-D Model of a Biped Robot. In: Proc of ACRA, pp. 223–229 (2001)

    Google Scholar 

  17. Jagannathan, K., Pratt, G., Pratt, J., Persaghian, A.: Pseudo-trajectory Control Scheme for a 3-D Model of a Biped Robot(Part 2. Body Trajectories). In: Procs of CIRAS, pp. 239–245 (2001)

    Google Scholar 

  18. Baltes, J., McGrath, S.: Tao-Pie-Pie. In: Proceedings of the RoboCup Symposium (2003)

    Google Scholar 

  19. Zhang, R., Vadakkepat, R.: Motion Planning of Biped Robot Climbing Stairs. In: Proc FIRA Congress (2003)

    Google Scholar 

  20. Miura, H., Shimoyama, I.: Dynamic Walk of a Biped. Int Journal of Robotics Research 3(2), 60–74 (1984)

    Article  Google Scholar 

  21. Pratt, G.A., Williamson, M.W.: Series Elastic Actuators. In: Proc of the IEEE/RSJ Int Con on Intelligent Robots and Systems (IROS-1995), vol. 1, pp. 399–406 (1995)

    Google Scholar 

  22. Featherstone, R.: A divide and conquer articulated-body algorithm for parallel O(log(n)) calculation of rigid-body dynamics. Part 1: Basic algorithm, International Journal of Robotics Research 18(9), 867–875 (1999)

    Google Scholar 

  23. Featherstone, R.: A divide and conquer articulated-body algorithm for parallel O(log(n)) calculation of rigid-body dynamics. Part 2: Trees, loops and accuracy, International Journal of Robotics Research 18(9), 876–892 (1999)

    Google Scholar 

  24. Message Passing Interface Forum. The MPI message-passing interface standard (1995), http://www.mpi-forum.org

  25. Messom, C.H., Demidenko, S., Subramaniam, K., Sen Gupta, G.: Size/Position Identification in Real-Time Image Processing using Run Length Encoding. In: IEEE Instrumentation and Measurement Technology Conference, pp. 1055–1060 (2002), ISBN 0-7803-7218-2

    Google Scholar 

  26. Opencv - Intel Open Source Compter Vision Library, available online, http://www.intel.com/research/mrl/research/opencv/

  27. Sen Gupta, G., Messom, C.H., Sng, H.L.: State Transition Based Supervisory Control for a Robot Soccer System. In: Proc of IEEE Int Workshop on Electronic Design, Test and Applications, pp. 338–342 (2002), ISBN: 0-7695-1453-7

    Google Scholar 

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Author information

Authors and Affiliations

  1. Massey University, Auckland, New Zealand

    Chris Messom

Authors
  1. Chris Messom
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Messom, C. (2004). Vision Controlled Humanoid Robot Tool-Kit. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_34

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  • DOI: https://doi.org/10.1007/978-3-540-30132-5_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23318-3

  • Online ISBN: 978-3-540-30132-5

  • eBook Packages: Springer Book Archive

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