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Original Articles

Robot inverse kinematics via neural and neurofuzzy networks: architectural and computational aspects for improved performance

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Pages 905-933 | Received 01 Dec 2006, Published online: 18 Jun 2013

References

  • Wu , G. and Wang , J. A recurrent neural network for manipulator inverse kinematics computation . IEEE Intl. Conf. on Neural Networks (ICNN'94) , Florida
  • Guo , J. and Cherkassky , V. A solution to the inverse kinematic problem in robotics using neural network processing . in Proc. IEEE Intl. Conf. on Neural Networks , pp. 617 – 621 . California : San Diego .
  • Li , Y. and Zeng , N. 1993 . “ A neural network based inverse kinematics solution in robotics ” . In Neural Networks in Robotics , Edited by: Bekey , G. A. and Goldberg , K. Y. 97 – 111 . Kluwer .
  • Psaltis , D. , Sideris , A. and Yamamura , A. A multilayered neural network controller . in Proc. IEEE Intl. Conf. on Neural Networks , pp. 17 – 21 . Californiain : San Diego .
  • Albus , J. S. September 1975 . “ A new approach to manipulator control: the cerebellar model articulation controller (CMAC) ” . In Transaction of the ASME September , 220 – 227 .
  • Kuperstein , M. “ Implementation of an adaptive neural controller for sensory-motor coordination ” . In in Connectionism in Perspective , Edited by: Pfeifer , R. , Schreter , Z. , Fogelman-Soulié , F. and Steels , L. North-Holland : Elsevier .
  • Cousein , A. Neural networks for robot control . Intl. Conf. on Software Engineering for Real-Time Systems, Cirencester , pp. 119 – 124 . UK
  • Beigi , H. S. M. and Li , C. J. A new set of learning algorithms for neural networks . in Proc. ISMM Conf. on Computer Architectures in Design, Simulation, and Analysis , New Orleans : Louisiana .
  • Hagan , M. T. and Manhaj , M. B. 1994 . “ Training feed-forward networks with the Marquardt algorithm ” . In IEEE Proc. Neural Networks
  • Battiti , R. 1992 . First- second-order methods for learning: between steepest descent newton&s method . Neural Computation , 139 ( 3 ) : 301 – 310 .
  • Nguyen , D. and Widrow , B. “ Improving the learning speed by choosing initial values of the adaptive weights ” . In in Proc. IJCNN , 111 – 121 . San Diego .
  • Shoham , M. , Li , C. J. , Hachman , H. and Kreindler , E. 1990 . Neural network control of robot arms . Annals of the CIRP , 41 ( 1 ) : 407 – 410 . Technion, Israel Institute of Technology, Haifa, Israel
  • Guez , A. and Ahmad , Z. 1998 . “ Solution to the inverse kinematics problem in robotics by neural networks ” . In in IEEE Intl. Conf. on Neural Networks (ICNN) , 617 – 621 . California : San Diego .
  • Barto , A. G. “ Connectionist learning for control ” . In in Neural Networks for Control , 5 – 58 . Cambridge , Massachusetts : MIT Press .
  • Jordan , M. I. 1988 . “ Supervised learning systems with excess degrees of freedom ” . In COINS Technical Report 88 – 27 .
  • Yabuta , T. , Tsujimura , T. , Yamada , T. and Yasuno , T. On the characteristics of the robot manipulator controller using neural networks . in IEEE Intl. Workshop on Industrial Applications of Machine Intelligence and Vision, MIV-89 ,
  • Gupta , M. M. and Rao , D. H. General l learning for robot coordinate transformations using dynamic neural network . in Proc. SPIE Conf. on Intelligent Robots and Computer Vision , pp. 524 – 535 . Vol. SPIE-2055
  • Jacobs , R. A. , Jordan , M. I. , Nowlan , S. J. and Hinton , G. E. 1991 . Adaptive mixtures of local experts . Neural Computation , 3 : 79 – 87 .
  • Anderson , J. A. General introduction, introduction, in Neurocomputing: Foundations of Research , Edited by: Anderson , J. A. and Rosenfeld , E. xiii – xxi . Cambridge , MA : MIT Press .
  • Haykin , S. 1994 . Neural Networks , New York : Macmillan .
  • Guez , A. and Selinsky , J. 1989 . Neurocontroller design via supervised unsupervised learning . J. Intell. and Robotic Systems , 2 : 307 – 335 .
  • Schöneburg , E. , Hansen , N. and Gawelczyk , A. 1990 . “ Neuronale Netzwerke, Einführung ” . In Überblick und Anwendungsmglichkeiten , Msrkt-u, Technik- Verlag .
  • Paul , R. P. 1981 . “ Kinematic control equations for manipulators ” . In IEEE Trans. on Systems, Man and Cybernetics
  • Zhang , X. , Lewis , J. and N-Nagy , F. L. 1996 . Inverse robot calibration using artificial neural networks . Engng. Applic. Artif. Intell. , 9 ( 1 ) : 83 – 93 .
  • Li , Y. T. and Han , K. 1991 . A Lyapunov based cartesian trajectory control for robot manipulators . Chinese J. of Automation, Allerton Press , 17 ( 1 )
  • Li , Y. T. and Han , K. 1992 . A variable structure control scheme for robot cartesian tracking . Chinese J. of Automation, Allerton Press , 18 ( 3 )
  • Whitney , D. E. 1969 . “ Resolved motion rate of manipulators human prostheses ” . In Man Machine and Systems, MMS-10 47 – 53 .
  • Gupta , P. and Sinha , N. K. 1997 . “ Control of robotic manipulators using neural networks: a survey ” . In in Intelligent Control Methods Applications , Edited by: Tzafestas , S. G. 103 – 136 . Dordrecht/Boston : Kluwer .
  • Artaga , B.F.J. 1990 . Multilayer back-propagation network for learning the forward inverse kinematic equations . IEEE Intl. Joint Conf. on Neural Networks , 2 : 319 – 322 . (IJCNN'90), Washington, D.C.
  • Guez , A. and Ahmad , Z. Accelerated convergence in the inverse kinematics via multilayer feed-forward networks . in Proc. IEEE Intl. Joint Conf. on Neural Networks,(IJCNN'89) , pp. 341 – 344 . Washington DC, Vol. 2
  • Nguyen , L. , Patel , R. and Khorasani , K. Neural network architectures for the forward kinematic problem in robotics . in Proc. IEEE Intl. Joint Conf. on Neural Networks (IJCNN'90) , pp. 393 – 399 .
  • Tzafestas , S. G. 1995 . Neural networks in robot control, in Artificial Intelligence in Industrial Decision Making, Control Automation Edited by: Tzafestas , S. G. and Verbruggen , H. B. 327 – 387 . Dordrecht — Boston
  • Martinez , J. , Bowles , J. and Mills , P. A fuzzy logic positioning system for an articulated robot arm . IEEE Intl. Conf. on Fuzzy Systems ,
  • Nedungadi , A. Application of fuzzy logic to solve the robot inverse kinematic problem . in Proc. 4th SME World Conf. on Robotic Research ,
  • Zilouchian , A. , Hamono , F. and Jordanides , T. 1997 . “ Intelligent control using artificial neural networks fuzzy logic: recent trends industrial applications ” . In in Methods Applications of Intelligent Control , Edited by: Tzafestas , S. G. 69 – 102 . Dordrecht/Boston : Kluwer .
  • Tzafestas , S. G. and Tzafestas , C. S. 1997 . “ Fuzzy and neural intelligent control: basic principles architectures ” . In in Methods Applications of Intelligent Control , Edited by: Tzafestas , S. G. 25 – 67 . Dordrecht/Boston : Kluwer .
  • Howard , D. W. and Zilouchian , A. 1998 . Application of fuzzy logic for the solution of inverse kinematics hierarchical controls of robotic manipulators Edited by: Intelligent , J. Robotic Systems
  • Paul , R. P. 1981 . Robot Manipulators: Mathematics, Programming Control , Cambridge , MA : The MIT Press .
  • Fu , F. S. , Gonzalez , R. C. and Lee , C. S. G. 1987 . Robotics: Control, Sensing Vision Intelligence , New York : McGraw-Hill .
  • Jang , J. S. 1992 . Self-learning fuzzy controllers based on temporal back propagation . IEEE. Trans. on Neural Networks , 3 ( 5 )
  • Jang , J. S. and Sun , C. 1995 . Neuro-fuzzy modelling control . Proc. IEEE , 83 ( 3 ) : 378 – 406 .
  • Tzafestas , S. G. , Raptis , S. and Stamou , G. 1996 . A flexible neurofuzzy cell structure for general fuzzy inference . Mathematics & Computers in Simulation , 41 ( 3–4 ) : 201 – 208 .

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