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Development of Robot Bionic Eye with Spherical Parallel Manipulator Based on Oculomotor Control Model

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PL
Sztuczne oko z równoległym sferycznym manipulatorem bazującym na mechniazmie typu oculomotor
Języki publikacji
EN
Abstrakty
EN
Vision System is important for autonomous robot. In this paper, a robot bionic vision system, which has the function of the human eye movements, is developed to solve the problem of vision instability during robot working. Firstly, according to the eyeball structure and eye movement characteristics, the mechanism of the bionic eye with three degree of freedom (DOF) is designed by using a spherical parallel manipulator. Because it will be applied in a rough environment, natural frequency of vibration and the maximum deformation of the bionic eye mechanism is gained based on finite-element method(FEM). Then, the control system of the bionic vision is established based on a oculomotor control model, which can compensate the visual error caused by the dynamic changes of the robot attitude and tracking target position. In addition, a bionic vision embedded system with a standard video data interface is developed. Finally, some simulation and physical robot experiments are conducted in harsh environments, and the test results confirm the effectiveness of this bionic vision system. It is also shown that the controller based on oculomotor control model is robust even with external disturbance.
PL
Przedstawiono bioniczny system spełniający funkcję ludzkiego oka. Sztuczne oko porusza się w przestrzeni trójwymiarowej w uwzględnieniem możliwych wibracji. System sterowania może kompensować błędy wynikające z ruchu robota. Przedstqwiono wyniki eksperymentalnego badania w trudnych warunkach pracy.
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1--7
Opis fizyczny
Bibliogr. 19 poz., rys., tab.
Twórcy
autor
autor
autor
autor
autor
  • School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China, and Shanghai Key Laboratory of Mechanical Automation and Robotics, Shanghai, China, lihengyub@shu.edu.cn
Bibliografia
  • [1] X. Y. Wang, Y. Zhang, X. J. Fu, G. S. Xiang, “Design and Kinematic Analysis of a Novel Humanoid Robot Eye Using Pneumatic Artificial Muscles”, Journal of Bionic Engineering, Vol.5, No.3,pp264-270, 2008.
  • [2] T. Villgrattner, H. Ulbrich, “Design and Control of a Compact High-Dynamic Camera-Orientatation System”, IEEE/ASME Transactions on Mechatronics, vol.16, No.2, pp221-231, 2011.
  • [3] A Lenz, T. Balakrishnan, A. G. Pipe and C. Melhuish, “An adaptive gaze stabilization controller inspired by the vestibuloocular reflex”, Bioinspiration & Biomimetics, vol.3, No.035001, pp1-11,June 2008.
  • [4] A Lenz, S. R. Anderson, A. G. Pipe, C. Melhuish, P. Dean, and J. Porrill, “Cerebellar-Inspired Adaptive Control of a Robot Eye Actuated by Pneumatic Artificial Muscles”, IEEE Transactions on systems, Man, and Cybernetics-part B: Cybernetics, vol.39, No.6, pp1420-1432, December 2009.
  • [5] J. Gu, M. Meng, A. Cook, M. G. Faulkner, “A study on natural movement of artificial eye implant”, Robotics and Autonomous Systems, vol.32, No.2, pp153-161(9), August 2000.
  • [6] T. B. Wolfe, M. G. Faulkner and J. Wolfaardt, “Development of a shape memeory alloy actuator for a robotic eye prosthesis”, Smart Materials and Structures, Vol.14, No.4, pp 759-768, 2005.
  • [7] C. M. Gosselin, E. St-Pierre, M. Gagne, “On the development of the agile eye”, IEEE Robotics & Automation Magazine, Vol.3, No.4,pp29-37,1996.
  • [8] C. M. Gosselin, E. St-Pierre, “Development and experimentation of a fast 3-DOF camera-orienting device”, International Journal of Robotics Research, Vol.16, No.5,pp619-630,1997.
  • [9] Y. B. Bang, J. K. Paik, B. H. Shin, and C. Lee, Luck, “A Three- Degree-of - Freedom Anthropomorphic Oculomotor Simulator”, International Journal of Control, Automation, and Systems, vol.4, No.2, pp227-235, April 2006.
  • [10] T. Shibata, S. Schaal, “Biomimetic gaze stabilization based on feedback-error-learning with nonparametric regression networks”, Neural Networks, Vol.14, No.2, pp 201-216, 2001.
  • [11] T. Shibata, H. Tabata, S. Schaal, et al. “A model of smooth pursuit in primates based on learning the target dynamics”, Neural Networks, No.18, 2005, pp213-224.
  • [12] C. Li, S.R. Xie, H.Y. Li, D. Wang, J. Luo, “Design of Bionic Eye Based on Spherical Parallel Mechanism with Optimized Parameters ”, Robot, vol.32, No.6, pp781-786, Nov 2010.
  • [13] H.Y. Li, J. Lou, C. Li, L. Li, S.R. Xie, “Active Compensation Method of Robot Visual Error Based on Vestibulo-ocular Reflex ”, Robot, vol.33, No.2, pp197-203, 2011.
  • [14] T. Huang, X. J. Zeng, Z. P. Zeng, “Dimensional synthesis of spherical parallel manipulators”, Progress in Natural Science, Vol.11,No.1, pp50-57, January 2001.
  • [15] D. A. Robinson, J. L. Gordon, and S. E. Gordon. “A model of the smooth pursuit eye movement system”, Biol. Cybern. No.55,1986, pp43-57.
  • [16] D. C. Deno, E. L. Keller, W. F. Crandall. “Dynamical neural network organization of the visual pursuit system”, IEEE Transactions on Biomedical Engineering, Vol.36, No. 1, 1989, pp85-92.
  • [17] M. Ito. “Cerebellar circuitry as a neuronal machine”, Progress in Neurobiology, No.78, 2006, pp272-303.
  • [18] X.L. Zhang, H. Wakamatsu. “A unified adaptive oculomotor control model”, International Journal of Adaptive Control and Signal Processing, Vol.15, No.7, 2001, pp697-713.
  • [19] S. Glasauer. “Current models of the ocular motor system”, Neuro-Opthalmology, No.40, 2007, pp158-174.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPOB-0049-0001
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