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Exoskeleton cloud-brain platform and its application in safety assessment

Fashu Xu (UESTC, Chengdu, China)
Rui Huang (UESTC, Chengdu, China)
Hong Cheng (School of Automation School, Center for Robotics, Chengdu, China)
Min Fan (UESTC, Chengdu, China)
Jing Qiu (University of Electronic Science and Technology of China, Chengdu, China)

Assembly Automation

ISSN: 0144-5154

Article publication date: 3 June 2021

Issue publication date: 22 July 2021

186

Abstract

Purpose

This paper aims at the problem of attaching the data of doctors, patients and the real-time sensor data of the exoskeleton to the cloud in intelligent rehabilitation applications. This study designed the exoskeleton cloud-brain platform and validated its safety assessment.

Design/methodology/approach

According to the dimension of data and the transmission speed, this paper implements a three-layer cloud-brain platform of exoskeleton based on Alibaba Cloud's Lambda-like architecture. At the same time, given the human–machine safety status detection problem of the exoskeleton, this paper built a personalized machine-learning safety detection module for users with the multi-dimensional sensor data cloned by the cloud-brain platform. This module includes an abnormality detection model, prediction model and state classification model of the human–machine state.

Findings

These functions of the exoskeleton cloud-brain and the algorithms based on it were validated by the experiments, they meet the needs of use.

Originality/value

This thesis innovatively proposes a cloud-brain platform for exoskeletons, beginning the digitalization and intelligence of the exoskeletal rehabilitation process and laying the foundation for future intelligent assistance systems.

Keywords

Acknowledgements

This work was supported by the National Key Research and Development Program of China (No. 2018AAA0102504), the National Natural Science Foundation of China (NSFC) (No. 62003073) and the Sichuan Science and Technology Program (Nos. 2021YFG0184, 2020YFSY0012 and 2018GZDZX0037).Statement: This paper does not have any potential or perceived conflicts of interest.

Citation

Xu, F., Huang, R., Cheng, H., Fan, M. and Qiu, J. (2021), "Exoskeleton cloud-brain platform and its application in safety assessment", Assembly Automation, Vol. 41 No. 3, pp. 333-344. https://doi.org/10.1108/AA-11-2020-0184

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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