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Optimization and analysis of a redundant 4R spherical wrist mechanism for a shoulder exoskeleton

Published online by Cambridge University Press:  17 July 2014

Ho Shing Lo  and
Shengquan Xie
Ho Shing Lo*
Affiliation:
Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand
Shengquan Xie
Affiliation:
Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand
*
*Corresponding author. E-mail: hlo015@aucklanduni.ac.nz
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Summary

This paper presents a redundant 4-revolute (4R) spherical wrist mechanism for a shoulder exoskeleton, which overcomes several major issues with the 3R mechanisms used in the past. An analysis of the 3R mechanism is done to highlight the limitations in its range of motion and problems caused by operating near singular configurations. To ensure that the redundancy in the 4R mechanism is efficiently utilized, genetic algorithm is used to optimize the mechanism design and identify the optimal operating configurations of the mechanism. The capability to reach the entire shoulder workspace is guaranteed and the joint velocities are minimized by considering the joint displacements required to move the end-effector throughout the workspace and the condition number of joint configurations for reaching 89 positions in the workspace. Analysis of the 4R mechanism obtained from the optimization process indicates that it can move throughout the entire shoulder workspace with feasibly low joint velocities.

Keywords

ExoskeletonsRehabilitationRedundant manipulatorsDesign optimizationWorkspace analysisSingularity analysis
Type
Articles
Information
Robotica , Volume 32 , Issue 8: Rehabilitation Robotics and Human-Robot Interaction , December 2014 , pp. 1191 - 1211
Copyright
Copyright © Cambridge University Press 2014 

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References

1.Perry, J. C., Rosen, J. and Burns, S., “Upper-limb powered exoskeleton design,” IEEE/ASME Trans. Mechatronics 12 (4), pp. 408–417 (2007).CrossRefGoogle Scholar
2.Naidu, D., Stopforth, R., Bright, G. and Davrajh, S., “A 7-DOF exoskeleton arm: Shoulder, elbow, wrist and hand mechanism for assistance to upper limb disabled individuals,” IEEE AFRICON Conference, Livingstone, Zambia (Sep. 13–15, 2011).Google Scholar
3.Carignan, C., Tang, J. and Roderick, S., “Development of an exoskeleton haptic interface for virtual task training,” In: IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, USA (Oct. 11–15, 2009) pp. 3697–3702.Google Scholar
4.Ball, S. J., Brown, I. E. and Scott, S. H., “MEDARM: A rehabilitation robot with 5-DOF at the shoulder complex,” IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Zurich, Switzerland (Sep. 4–7, 2007).Google Scholar
5.Martinez, F., Pujana-Arrese, A., Retolaza, I., Sacristan, I., Basurko, J. and Landaluze, J., “IKO: A five actuated DoF upper limb exoskeleton oriented to workplace assistance,” Appl. Bionics Biomech. 6 (2), pp. 143–155 (2009).CrossRefGoogle Scholar
6.Nef, T., Guidali, M. and Riener, R., “ARMin III – Arm therapy exoskeleton with an ergonomic shoulder actuation,” Appl. Bionics Biomech. 6 (2), pp. 127–142 (2009).CrossRefGoogle Scholar
7.Lo, H. S. and Xie, S. Q., “Exoskeleton robots for upper-limb rehabilitation: State of the art and future prospects,” Med. Eng. Phys. 34 (3), pp. 261–268 (2012).CrossRefGoogle ScholarPubMed
8.Lo, H. S. and Xie, S. S. Q., “Optimization of a redundant 4R robot for a shoulder exoskeleton,” In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Wollongong, Australia (Jul. 9–12, 2013) pp. 798–803.Google Scholar
9.Denavit, J. and Hartenberg, R. S., “A kinematic notation for lower pair mechanisms based on matrices,” ASME J. Appl. Mech. 23, 215–221 (1955).CrossRefGoogle Scholar
10.Teanby, N. A., “An icosahedron-based method for even binning of globally distributed remote sensing data,” Comput. Geosci. 32 (9), 1442–1450 (2006).CrossRefGoogle Scholar
11.Aristidou, A. and Lasenby, J., “FABRIK: A fast, iterative solver for the inverse kinematics problem,” Graph. Models 73 (5), 243–260 (2011).CrossRefGoogle Scholar
12.Wang, X., Maurin, M., Mazet, F., Maia, N. D. C., Voinot, K., Verriest, J. P. and Fayet, M., “Three-dimensional modelling of the motion range of axial rotation of the upper arm,” J. Biomech. 31 (10), 899–908 (1998).CrossRefGoogle ScholarPubMed
13.Jamwal, P. K., Xie, S. and Aw, K. C., “Kinematic design optimization of a parallel ankle rehabilitation robot using modified genetic algorithm,” Robot. Auton. Syst. 57 (10), 1018–1027 (2009).CrossRefGoogle Scholar