Abstract

Exoskeletons are wearable devices intended to physically assist one or multiple human joints in executing certain activities. From a mechanical point of view, they are kinematic structures arranged in parallel to the biological joints. In order to allow the users to move while assisted, it is crucial to avoid mobility restrictions introduced by the exoskeleton's kinematics. Passive degrees of freedom and other self-alignment mechanisms are a common option to avoid any restrictions. However, the literature lacks a systematic method to account for large inter- and intra-subject variability in designing and assessing kinematic chains. To this end, we introduce a model-based method to assess the kinematics of exoskeletons by representing restrictions in mobility as disturbances and undesired forces at the anchor points. The method makes use of robotic kinematic tools and generates useful insights to support the design process. Though an application on a back-support exoskeleton designed for lifting tasks is illustrated, the method can describe any type of rigid exoskeleton. A qualitative pilot trial is conducted to assess the kinematic model that proved to predict kinematic configurations associated to rising undesired forces recorded at the anchor points, that give rise to mobility restrictions and discomfort on the users.

Highlights

  • Exoskeletons are wearable devices that can physically assist one or multiple biological joints

  • Sources of misalignments include (i) exoskeleton fitting problems due to user anthropometry and device migration during use, (ii) the presence of compliance in braces, and (iii) several passive DoFs. These pose the need for improvements and a great challenge for designers to identify issues in the exoskeleton’s kinematic

  • This paper describes a MIL approach that aims at supporting the design and assessment of the kinematic structures of exoskeletons, such as the R–R–S misalignment compensation mechanism, considering the aforementioned issues

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Summary

Introduction

Exoskeletons are wearable devices that can physically assist one or multiple biological joints. These devices can be regarded as an additional kinematic chain parallel to the corresponding biological one They aim to augment users’ physical capabilities to reduce the load on their joints, or to compensate for impaired muscles. Occupational exoskeletons have the potential to improve wellness and safety of an ageing working class (UNI Global Union Europe, 2015) Growing interest in these devices is supported by scientific assessment of their effectiveness (de Looze et al, 2016; Nussbaum et al, 2019; Theurel and Desbrosses, 2019), the emergence of shared evaluation indexes (Pietrantoni et al, 2019; Torricelli and Pons, 2019), and reports and guides to inform users (i.e., ergonomic practitioners, workers, and customers) (Sugar et al, 2018; Toxiri et al, 2019). Acceptance rates of wearable augmenting devices, especially for healthy subjects, is influenced by several factors and it is closely related to design solutions affecting both physical and mental load imposed by the exoskeleton

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