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Exploiting a Human Arm Model for Fast, Intuitive and Time-Delays-Robust Telemanipulation

  • P. Prokopiou
  • W. S. Harwin
  • S. G. Tzafestas
Part of the Advanced Manufacturing book series (ADVMANUF)

Abstract

Although master-slave systems have been investigated since the 1940s, in addition to the traditional application fields (e.g. space, underwater, hazardous industrial ones), new fruitful areas have arisen, including the entertainment and health care industry [1]. However, current telemanipulator designs [2],[3],[4],[5],[6], are often accused of providing an obscure feel of the telemanipulated objects. This in part results from the poor modelling of the operator arm and the brain decision tactics, which due to their complexity and the ambiguity of early models, are either neglected or overly simplified.

Keywords

Mechanical Part Neural Input Remote Environment Bilateral Constraint Small Gain Theorem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    Harwin W S, Rahman T, Foulds R 1995 A review of Design issues in rehabilitation robotics with reference to North American research. IEEE Tr Rehab Engrg, 31:3–13CrossRefGoogle Scholar
  2. [2]
    Yokokohji Y, Yoshikawa T 1994 Bilateral Control of Master-Slave Manipulators for Ideal Kinesthetic Coupling-Formulation and Experiment. IEEE Tr Rob&Aut 10(5):605–619Google Scholar
  3. [3]
    Lee S, Lee H S 1993 Modeling, Design and Evaluation of Advanced Teleoperator Control Systems with Short Time Delay IEEE Tr Rob&Aut 9(5): 607–623Google Scholar
  4. [4]
    Kazerooni H, Tsai T-I, Hollerbach K 1993 A Controller Design Framework for Telerobotic Systems. IEEE Tr Control Sys Techn 1(1): pp. 50–62CrossRefGoogle Scholar
  5. [5]
    Niemeyer G, Slotine J-J E 1991 Stable adaptive teleoperation. IEEE J. Oceanic Engrg 16(1): 152–162CrossRefGoogle Scholar
  6. [6]
    Tzafestas S G, Prokopiou P A 1997 Compensation of Teleoperator Uncertainties with a Sliding Mode Controller. J. Robotics & Computer-Integrated Manufacturing 13(1): 9–20CrossRefGoogle Scholar
  7. [7]
    Prokopiou P A 1998 Human arm models and time delays in teleoperation Internal report, tHRIL, Dept. of Cybernetics, University of ReadingGoogle Scholar
  8. [8]
    Haugland M K, Sinkjaer T 1995 Cutaneous Whole Nerve Recordings Used for Correction of footdrop in Hemiplegie Man. IEEE Tr Rehab Engrg 3(4): 307–317CrossRefGoogle Scholar
  9. [9]
    Sheridan T B 1993 Space Teleoperation through time dealy: Review and Prognosis. IEEE Tr Rob&Aut 9(5):592–606Google Scholar
  10. Prokopiou P A, Harwin W S, Tzafestas S G 1998 Enhancement of A Telemanipulator Design With A Human Arm Model In: Tzafestas S G (ed) 1998 Advances in Intelligent Systems: Concepts and Applications, Kluwer Academic Publishers (in preparation).Google Scholar
  11. [11]
    Houk J C, Buckingham J T, Barto A G 1996 Models of the cerebellum and motor learning. Behavioral and Brain Sciences 19: 368–383CrossRefGoogle Scholar
  12. [12]
    Zangemeister W H, Lehman S, Stark L W 1981 Simulation of Head Movement Trajectories: Model and Fit to Main Sequence. Biol Cybernetics 41:19–32CrossRefGoogle Scholar
  13. [13]
    Ramos C F, Stark L W 1990 Postural maintenance during fast forward bending: a model simulation experiment determines a “reduced trajectory”. Exper Brain Research, 82:651–657Google Scholar
  14. [14]
    Gossett J H, Clymer B D, Hemami H 1994 Long and Short Delay Feedback on One- Link Nonlinear Forearm with Coactivation, IEEE Tr SMC 24(9): 1317–1327Google Scholar
  15. [15]
    Prochazka A, Gillard D, Bennett D J 1997 Positive Force Feedback Control of Muscles, J. Neurophysiology 77(6): 3226–3236Google Scholar
  16. [16]
    Efranian A, Chizeck H J, Hashemi R M 1998 Using evoked EMG as a synthetic force sensor of isometric electrically stimulated muscle. IEEE Tr Biomed Engrg 45(2): 188–202CrossRefGoogle Scholar
  17. [17]
    Gollee H, Hunt K J 1997 Nonlinear modelling and control of electrically stimulated muscle: a local model network approach. Intl. J. Control 68(6): 1259–1288MathSciNetMATHCrossRefGoogle Scholar
  18. [18]
    Bobet J, Stein R B, Oguztoreli M N 1993 A Linear Time-Varying Model of Force Generation in Skeletal Muscle. IEEE Tr Biomed Engrg 40(10): 1000–1006CrossRefGoogle Scholar
  19. [19]
    Bernotas L, Crago P, Chizeck H J 1986 A Discrete-Time Model of Electrically Stimulated Muscle. IEEE Tr Biomed Engrg 33(9): pp.829–838CrossRefGoogle Scholar
  20. Narendra K S, Annaswamy A M 1989 Stable Adaptive Systems. Prentice-Hall Intl.MATHGoogle Scholar
  21. [21]
    Prokopiou P A, Harwin W S, Tzafestas S G 1998 Fast, Intuitive And Time-Delays- Robust Telemanipulator Designs Using A Human Arm Model In: Proceedings Symposium Intelligent Robotic Systems, Edinburgh, UK 1998Google Scholar

Copyright information

© Springer-Verlag London Limited 1999

Authors and Affiliations

  • P. Prokopiou
  • W. S. Harwin
  • S. G. Tzafestas

There are no affiliations available

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