Design of Customized Rehabilitation Aids

  • Vijay Kumar
  • Ruzena Bajcsy
  • William Harwin
Conference paper


We present the component technologies that are essential for rapidly designing and producing customized rehabilitation aids for people with motor disabilities. We show that methods traditionally used in robotics and computer vision can be used to formulate and solve many of the problems that are encountered in automating this process.


Kinematic Chain Virtual Prototype Haptic Interface Physical Prototype Virtual Product 
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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  1. [1]
    N.I. Badler, C.B. Phillips and B.L. Webber (1993), Simulating Humans: Computer Graphics, Animation, and Control, Oxford University Press, New York, NY.MATHGoogle Scholar
  2. [2]
    M.F. Burrow and T.G. Single (1990), The Georgia Tech Robotic Manipulator: A Six Degree of Freedom Arm for Rehabilitation Applications, Proc. Int’l Conf. on Rehabilitation Robotics, Wilmington, DE, pp. 41–51.Google Scholar
  3. [3]
    G. Bush, I. Al-Temen, J. Hancock, J. Bishop, E.M. Slack and I. Kurtz (1994), Development of a Myoelectrically Controlled Wheelchair Mounted Object Manipulator for Quadriplegics, Proc. 4th Int’l Conf. on Rehabilitation Robotics, Wilmington, DE, June 14–17, pp. 103–106.Google Scholar
  4. [4]
    J.E. Colgate and J.M. Brown (1994), Factors affecting the Z-Width of a Haptic Display, Proc. IEEE Int’l. Conf. on Robotics and Automation, San Diego, CA, May 8–13, pp. 3205–3210.Google Scholar
  5. [5]
    J.L. Dallaway and R.D. Jackson (1993), The RAID Workstation for Office Environments, Proc. RESNA Int’l.’93, pp. 504–506.Google Scholar
  6. [6]
    J.A. Doubler and D.S. Childress (1984), An Analysis of Extended Physiological Propri-oception as a Prothesis Control Technique, Jrnl. of Rehabilitation Research and Development, Vol. 21, No. 1, pp. 5–18.Google Scholar
  7. [7]
    M. Evans (1991), Magpie: It’s development and evaluation, Technical report, Nuffield Orthopeadic Center, Headington, Oxford, England OX3 7LD, 1991.Google Scholar
  8. [8]
    G. Garvin, M. Zefran, E. Henis and V. Kumar (1994), A study on optimally criteria for two hand reaching tasks, Proc. 13th Southern Biomedical Engineering Conf, Washington, DC, April 16–17.Google Scholar
  9. [9]
    V. Hayward (1995), Performance Measures for Haptic Interfaces, Proc. 7th Int’l. Symposium on Robotics Research, Hirshing, Germany, October 21–25.Google Scholar
  10. [10]
    J.R. Hegarty and M.J. Topping (1991), HANDY 1 — A Low-Cost Robotic Aid to Eating, Proc. Int’l. Conf. on Rehabilitation Robotics, pp. 17–25.Google Scholar
  11. [11]
    N. Hogan (1982), Control and coordination of voluntary arm movements, Proc. American Control Conf, pp. 522–528.Google Scholar
  12. [12]
    J.M. Hollerbach (1989), A survey of kinematic calibration, Robotics Review I, Eds: O. Khatib, J.J. Craig and T. Lozano-Perez, MIT Press, Cambridge, MA, pp. 207–242.Google Scholar
  13. [13]
    I. Kakadiaris, D. Metaxas and R. Bajcsy (1994), Active part-decomposition, shape and motion estimation of articulated objects: A physics-based approach, Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Seattle, WA, June 21–23. pp. 980–984.Google Scholar
  14. [14]
    H. Kazerooni (1990), Human Machine Interaction via the Transfer of Power and Information Signals, IEEE Trans. Systems, Man and Cybernetics, Vol. SMC-20, No. 2, pp. 450–463.CrossRefGoogle Scholar
  15. [15]
    C.J.J. Paredis and P.K. Khosla (1993), Kinematic Design of Serial Link Manipulators from Task Specifications, Int’l Jrnl of Robotics Research, Vol. 12, No. 3, June, pp. 274–287.CrossRefGoogle Scholar
  16. [16]
    V. Koivunen (1993), Processing and interpretation of 3-D sensory data with application to geometric modeling, Ph.D. dissertation, Department of Electrical Engineering, Universitas Ouluensis, Finland.Google Scholar
  17. [17]
    V. Koivunen and R. Bajcsy (1993), Geometric methods for building CAD models from range data, Proc. SPIE Geometric Methods in Computer Vision I I, San Diego, CA.Google Scholar
  18. [18]
    V. Kumar, R. Bajcsy, W. Harwin and P. Harker (1996), Rapid Design and Prototyping of Customized Rehabilitation Aids, Communications of the ACM, Special Section on Computers in Manufacturing, (to be published).Google Scholar
  19. [19]
    H.H. Kwee (1990), Rehabilitation Robotics: Softening the Hardware, Proc. Int’l Conf on Rehabilitation Robotics, pp. 69–79.Google Scholar
  20. [20]
    D. Lees, R. Crigler, H.F.M. Van der Loos and L. Leifer (1988), A Third Generation Desktop Robotic Assistant for the Severely Disabled, Proc. ICAART88, Montreal, Canada, June 1988.Google Scholar
  21. [21]
    L. Leifer (1992), RUI: factoring the robot user interface, Proc. RESNA Int’l’92, RESNA Press.Google Scholar
  22. [22]
    National Spinal Cord Injury Statistical Center Annual Report, University of Alabama at Birmingham, 1992.Google Scholar
  23. [23]
    M. Ouerfelli (1994), Identification of Open and Closed Kinematic Chains with Applications to Robotics and Biomechanics, Ph.D. dissertation, Department of Mechanical Engineering, University of Pennsylvania, Philadelphia, PA.Google Scholar
  24. [24]
    P. Papalambros and D. Wilde (1988), Principles of Optimal Design, Cambridge University Press, New York, NY.MATHGoogle Scholar
  25. [25]
    R. Pito and R. Bajcsy (1995), A Solution to the Next Best View Problem for Automated CAD Model Acquisition Using Range Cameras, Modeling, Simulation, and Control Technologies for Manufacturing, SPIE Photonics East, Philadelphia, PA.Google Scholar
  26. [26]
    M. Raghavan and B. Roth (1990), Kinematic analysis of the 6-R Manipulator of General Geometry, Proc. 5th Int’l Symposium on Robotics Research, MIT Press, Cambridge, MA, pp. 263–269.Google Scholar
  27. [27]
    T. Rahman, W. Harwin, S. Chen and R. Mahoney (1994), Rehabilitation robot control with enhanced sensory feedback, Proc. 4th Int’l Conf. on Rehabilitation Robotics, Wilmington, DE, June 14–16, pp. 43–48.Google Scholar
  28. [28]
    J.B. Reswick (1990), The Moon Over Dubrovnik — A Tale of Worldwide Impact on Persons with Disabilities, Advances in external control of human extremities, 4092, 1990.Google Scholar
  29. [29]
    J.H. Sheridan (1993), Agile manufacturing: stepping beyond lean production, Industry Week, Vol. 242, No. 8, pp. 3–46.Google Scholar
  30. [30]
    C.A. Stanger, A.C. Phalangas and M.F. Cawley (1994), Range of Head Motion and Force of High Cervical Spinal Cord Injured Individuals for the Design of a Testbed Robotic System, Proc. 4th Int’l Conf. on Rehabilitation Robotics, Wilmington, DE, June 14–17, pp. 37–42.Google Scholar
  31. [31]
    K.T. Ulrich and S.D. Eppinger (1995), Product Design and Development, McGraw-Hill, New York, NY.Google Scholar
  32. [32]
    G. Verberg, M. Milner, S. Naumann, J. Bishop and O. Sas (1992), An Evaluation of the Manus Wheelchairmounted Manipulator, Proc. RESNA Int’l’92, RESNA Press.Google Scholar
  33. [33]
    J. Vertut and P. Coiffet (1986), Teleoperations and Robotics: Evolution and Development, Robot Technology, Vol. 3A, pp. 191– 194, Prentice Hall.Google Scholar
  34. [34]
    P. Wellman, V. Krovi, V. Kumar and W. Harwin (1995), A Wheelchair with Legs for People with Motor Disabilities, IEEE Trans, on Rehabilitation Engineering, (in press).Google Scholar

Copyright information

© Springer-Verlag London Limited 1996

Authors and Affiliations

  • Vijay Kumar
    • 1
  • Ruzena Bajcsy
    • 1
  • William Harwin
    • 2
  1. 1.GRASP LaboratoryUniversity of PennsylvaniaPhiladelphiaUSA
  2. 2.Applied Science and Engineering LaboratoriesA. I. duPont Institute University of DelawareWilmingtonUSA

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