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Kinematic Design Optimization of an Eight Degree-of-Freedom Upper-Limb Exoskeleton

Published online by Cambridge University Press:  25 June 2019

Amin Zeiaee Open the ORCID record for Amin Zeiaee [Opens in a new window] ,
Rana Soltani-Zarrin ,
Reza Langari  and
Reza Tafreshi
Amin Zeiaee*
Affiliation:
Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA. E-mails: [email protected], [email protected]
Rana Soltani-Zarrin
Affiliation:
Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA. E-mails: [email protected], [email protected]
Reza Langari
Affiliation:
Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA. E-mails: [email protected], [email protected]
Reza Tafreshi
Affiliation:
Department of Mechanical Engineering, Texas A&M University at Qatar, Doha, Qatar. E-mail: [email protected]
*
* Corresponding author. E-mail: [email protected]
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Summary

This paper studies the problem of optimizing the kinematic structure of an eight degree-of-freedom upper-limb rehabilitation exoskeleton. The objective of optimization is achieving minimum volume and maximum dexterity in the workspace of daily activities specified by a set of upper-arm configurations. To formulate the problem, a new index is proposed for effective characterization of kinematic dexterity for wearable robots. Additionally, a set of constraints are defined to ensure that the optimal design can cover the desired workspace of the exoskeleton, while singular configurations and physical interferences are avoided. The formulated multi-objective optimization problem is solved using an evolutionary algorithm (Non-dominated Sorting Genetic Algorithm II) and the weighted sum approach. Among the resulted optimal points, the point with least sensitivity with respect to the variations of design variables is chosen as the final design.

Keywords

ExoskeletonsDesign optimizationKinematic designKinematic dexterityWorkspace maximization
Type
Articles
Information
Robotica , Volume 37 , Special Issue 12: Wearable Robotics: Dynamics, Control and Applications , December 2019 , pp. 2073 - 2086
Copyright
© Cambridge University Press 2019 

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