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Full-DOF Calibration-Free Robotic Hand-Eye Coordination Based on Fuzzy Neural Network

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Advances in Neural Networks - ISNN 2004 (ISNN 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3174))

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Abstract

This paper studies coordination control for an uncalibrated single eye-in-hand robotic system to track an object in 3-D space with simultaneous translations and rotations. A set of object features is properly defined to derive an invertible nonlinear visual mapping model from visual feedback to robot control. A novel fuzzy neural network is proposed to realize the nonlinear mapping model effectively, which is essential to implement six-degree-of-freedom control of robot hand. Simulation results show the performance of the proposed method.

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References

  1. Feddema, J.T., Lee, C.S.G.: Adaptive Image Feature Prediction and Control for Visual Tracking with a Hand-Eye Coordinated Camera. IEEE Trans. S.M.C. 20, 1172–1183 (1990)

    Article  Google Scholar 

  2. Yoshimi, B.H., Allen, P.K.: Alignment Using an Uncalibrated Camera System. IEEE Trans. Robot. Automat. 11, 516–521 (1995)

    Article  Google Scholar 

  3. Hespanha, J., Dodds, Z., Hager, G.D., Morse, A.S.: What Can Be Done with an Uncalibrated Stereo Systems? In: Proc. 1998 IEEE Inter. Conf. on Robot. Automat., pp. 1366–1372 (1998)

    Google Scholar 

  4. Sutanto, H., Sharma, R., Varma, V.: Image Based Autodocking without Calibration. In: Proc. 1997 IEEE Inter. Conf. on Robot. Automat., pp. 974–979 (1997)

    Google Scholar 

  5. Su, J.B., Xi, Y.G., Hanebeck, U.D., Schmidt, G.: Nonlinear Visual Mapping Model for 3-D Visual Tracking with Uncalibrated Eye-in-Hand Robotic System. IEEE Trans. System, Man and Cybernetics, Part B 34, 652–659 (2004)

    Article  Google Scholar 

  6. Hashimoto, H., Kubota, T., Sato, M., Hurashima, F.: Visual Control of Robotic Manipulator Based on Neural Networks. IEEE Trans. on Industrial Electronics 39, 490–496 (1992)

    Article  Google Scholar 

  7. Sharma, R., Srinivasa, N.: A Framework for Active Vision-Based Robot Control Using Neural Networks. Robotica 16, 309–327 (1998)

    Article  Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Su, J., Pan, Q., Luo, Z. (2004). Full-DOF Calibration-Free Robotic Hand-Eye Coordination Based on Fuzzy Neural Network. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_2

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  • DOI: https://doi.org/10.1007/978-3-540-28648-6_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22843-1

  • Online ISBN: 978-3-540-28648-6

  • eBook Packages: Springer Book Archive

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